split remaining decoders and demuxer from core

[nihav.git] / nihav-commonfmt / src / codecs / sipro.rs

use std::rc::Rc;
use std::cell::RefCell;
use nihav_core::formats::*;
use nihav_core::frame::*;
use nihav_core::codecs::*;
use nihav_core::io::bitreader::*;

use std::f32::consts::PI;

#[derive(Clone,Copy,PartialEq)]
enum SiproMode {
    Mode16k,
    Mode8_5k,
    Mode6_5k,
    Mode5k,
}

impl SiproMode {
    fn is16k(&self) -> bool { *self == SiproMode::Mode16k }
}

const SIPRO_MODE_FROM_IDX: [SiproMode; 4] = [
    SiproMode::Mode16k, SiproMode::Mode8_5k, SiproMode::Mode6_5k, SiproMode::Mode5k
];

const EXCITATION_OFFSET: usize = 281 + 10 + 1;

struct SiproDecoder {
    chmap:              NAChannelMap,
    ainfo:              NAAudioInfo,
    info:               Rc<NACodecInfo>,
    mode:               &'static SiproModeInfo,
    mode_type:          SiproMode,

    pred_switch:        bool,
    vq_idx:             [usize; 5],
    pitch_delay:        [usize; 5],
    gp_index:           [usize; 5],
    fc_index:           [[i16; 10]; 5],
    gc_index:           [usize; 5],
    npulses:            usize,
    pulse_data:         [i16; 20],

    pitch_lag_prev:     usize,
    prev_pitch_gain:    f32,
    avg_energy:         f32,
    gain_mem:           f32,

    lsf_hist:           [f32; 16],
    lsp_hist:           [f32; 16],
    energy_hist:        [f32; 4],
    sf_filter:          [[f32; 16]; 5],
    excitation:         [f32; 512+64],
    synth:              [f32; 256],
    synth_hist:         [f32; 16],
    ir:                 [f32; 80],
    fix_vec:            [f32; 80],

    postfilt_5k:        [f32; 256],
    postfilt_5k_mem1:   [f32; 10],
    postfilt_5k_mem2:   [f32; 10],
    postfilt_5k_tilt:   f32,
    postfilt_5k_gain:   f32,

    postfilt_16k_preemph:   [f32; 16],
    postfilt_16k_filt:      [f32; 16],
    postfilt_16k_filt_prev: [f32; 16],
    postfilt_16k_buf:       [f32; 256],

    iir_state:          [f32; 2],

    pitch_int:          usize,
    prev_pitch:         usize,
}

impl SiproDecoder {
    fn new() -> Self {
        SiproDecoder {
            chmap:      NAChannelMap::new(),
            ainfo:      NAAudioInfo::new(0, 1, SND_F32P_FORMAT, 0),
            info:       NACodecInfo::new_dummy(),
            mode:       &SIPRO_MODES[0],
            mode_type:  SiproMode::Mode5k,

            pred_switch: false,
            vq_idx:             [0; 5],
            pitch_delay:        [0; 5],
            gp_index:           [0; 5],
            fc_index:           [[0; 10]; 5],
            gc_index:           [0; 5],
            npulses:            0,
            pulse_data:         [0; 20],

            pitch_lag_prev:     0,
            prev_pitch_gain:    0.0,
            avg_energy:         0.0,
            gain_mem:           0.0,
            pitch_int:          0,
            prev_pitch:         0,

            lsf_hist:           [0.0; 16],
            lsp_hist:           [0.0; 16],
            energy_hist:        [0.0; 4],
            sf_filter:          [[0.0; 16]; 5],
            excitation:         [0.0; 512+64],
            synth:              [0.0; 256],
            synth_hist:         [0.0; 16],
            ir:                 [0.0; 80],
            fix_vec:            [0.0; 80],

            postfilt_5k:        [0.0; 256],
            postfilt_5k_mem1:   [0.0; 10],
            postfilt_5k_mem2:   [0.0; 10],
            postfilt_5k_tilt:   0.0,
            postfilt_5k_gain:   0.0,

            postfilt_16k_preemph:   [0.0; 16],
            postfilt_16k_filt:      [0.0; 16],
            postfilt_16k_filt_prev: [0.0; 16],
            postfilt_16k_buf:       [0.0; 256],

            iir_state:          [0.0; 2],
        }
    }

    fn unpack_frame(&mut self, br: &mut BitReader) -> DecoderResult<()> {
        if self.mode.pred {
            self.pred_switch = br.read_bool()?;
        } else {
            self.pred_switch = false;
        }
        for i in 0..5 {
            self.vq_idx[i]              = br.read(self.mode.vq_idx_bits[i])? as usize;
        }
        for sf in 0..self.mode.subframes {
            self.pitch_delay[sf]        = br.read(self.mode.pitch_delay_bits[sf])? as usize;
            self.gp_index[sf]           = br.read(self.mode.gp_idx_bits)? as usize;
            for i in 0..self.mode.fc_indices {
                self.fc_index[sf][i]    = br.read(self.mode.fc_idx_bits[i])? as i16;
            }
            self.gc_index[sf]           = br.read(self.mode.gc_idx_bits)? as usize;
        }
        Ok(())
    }
    fn decode_lsf_16k(&mut self) {
        let mut filter:  [f32; 16] = [0.0; 16];
        let mut newfilt: [f32; 16] = [0.0; 16];
        let mut lsp:     [f32; 16] = [0.0; 16];

        for cb in 0..4 {
            for i in 0..3 {
                filter[cb * 3 + i] = SIPRO_LSF_CODEBOOK_16K[cb][self.vq_idx[cb]][i];
            }
        }
        for i in 0..4 {
            filter[4 * 3 + i] = SIPRO_LSF_CB4_16K[self.vq_idx[4]][i];
        }

        if self.pred_switch {
            for i in 0..newfilt.len() {
                newfilt[i] = (filter[i] + self.lsf_hist[i]) * 0.5 + SIPRO_MEAN_LSF_16K[i];
            }
        } else {
            for i in 0..newfilt.len() {
                newfilt[i] = 0.88 * filter[i] + 0.12 * self.lsf_hist[i] + SIPRO_MEAN_LSF_16K[i];
            }
        }
        for i in 0..filter.len() {
            self.lsf_hist[i] = filter[i];
        }

        let mut prev: f32 = 0.0;
        for i in 0..newfilt.len() {
            newfilt[i] = newfilt[i].max(prev + SIPRO_LSF_MIN_DIST/2.0);
            prev = newfilt[i];
            filter[i] = newfilt[i].cos();
        }

        for i in 0..lsp.len() {
            lsp[i] = (filter[i] + self.lsp_hist[i]) * 0.5;
        }

        lsp2lpc_16k(&mut self.sf_filter[0], &lsp);
        lsp2lpc_16k(&mut self.sf_filter[1], &filter);
        for i in 0..filter.len() {
            self.lsp_hist[i] = filter[i];
        }

        for i in 0..16 {
            self.synth[i] = self.synth_hist[i];
        }
    }
    fn decode_lsf_lbr(&mut self) {
        let mut filter:  [f32; 10] = [0.0; 10];
        let mut newfilt: [f32; 10] = [0.0; 10];

        for cb in 0..5 {
            for i in 0..2 {
                filter[cb * 2 + i] = SIPRO_LSF_CODEBOOK_LBR[cb][self.vq_idx[cb]][i];
            }
        }
        for i in 0..newfilt.len() {
            newfilt[i] = filter[i] + 0.33 * self.lsf_hist[i] + SIPRO_MEAN_LSF_LBR[i];
        }
        for i in 0..8 { // maybe it's just bubble sort?
            for j in (0..i+1).rev() {
                if newfilt[j] <= newfilt[j + 1] { break; }
                let tmp = newfilt[j];
                newfilt[j] = newfilt[j + 1];
                newfilt[j + 1] = tmp;
            }
        }

        let mut prev: f32 = 0.0;
        for i in 0..9 {
            newfilt[i] = newfilt[i].max(prev + SIPRO_LSF_MIN_DIST);
            prev = newfilt[i];
        }
        newfilt[9] = newfilt[9].min(prev + SIPRO_LSF_MIN_DIST_LAST);
        for i in 0..filter.len() {
            self.lsf_hist[i] = filter[i];
        }

        for i in 0..9 {
            newfilt[i] = newfilt[i].cos();
        }
        newfilt[9] *= 6.153848 / PI;

        let mut interp: f32 = 0.5 / (self.mode.subframes as f32);
        for sf in 0..self.mode.subframes {
            for i in 0..newfilt.len() {
                filter[i] = newfilt[i] * interp + self.lsp_hist[i] * (1.0 - interp);
            }
            lsp2lpc_lbr(&mut self.sf_filter[sf], &filter);
            interp += 1.0 / (self.mode.subframes as f32);
        }
        for i in 0..newfilt.len() {
            self.lsp_hist[i] = newfilt[i];
        }

        for i in 0..10 {
            self.synth[i] = self.synth_hist[i];
        }
    }
    fn calc_pitch_16k(&mut self, sf: usize) {
        let idx = self.pitch_delay[sf];
        let pitch_idx = if sf == 0 {
                if idx < 390 {
                    idx + 88
                } else {
                    idx * 3 - 690
                }
            } else {
                if idx < 62 {
                    (self.prev_pitch - 10).max(30).min(281 - 19) * 3 + idx - 2
                } else {
                    self.prev_pitch * 3
                }
            };
        self.pitch_int  = ((pitch_idx + 2) * 10923) >> 15;
        self.prev_pitch = ((pitch_idx + 1) * 10923) >> 15;
        let pitch_frac = pitch_idx + 2 - 3 * self.pitch_int;

        for i in 0..80 {
            let mut sum: f32 = 0.0;
            let estart = EXCITATION_OFFSET + sf * 80 - self.pitch_int + i + 1;
            for j in 0..10 {
                sum += self.excitation[estart + j]     * SIPRO_SINC_16K[j * 3 + pitch_frac + 1];
                sum += self.excitation[estart - j - 1] * SIPRO_SINC_16K[j * 3 + 3 - pitch_frac - 1];
            }
            self.excitation[EXCITATION_OFFSET + sf * 80 + i] = sum;
        }
    }
    fn calc_pitch_lbr(&mut self, sf: usize) {
        let new_sf = (sf == 0) || (self.mode_type == SiproMode::Mode5k && sf == 2);
        let idx = self.pitch_delay[sf];
        let pitch_idx = if new_sf {
                if idx < 197 {
                    idx + 59
                } else {
                    idx * 3 - 335
                }
            } else {
                idx + (self.prev_pitch - 5).max(20).min(134) * 3 - 1
            };
        self.pitch_int = (pitch_idx * 10923) >> 15;
        let pitch_frac = (pitch_idx as i32) - (self.pitch_int as i32) * 3 - 1;
        if new_sf {
            self.prev_pitch = self.pitch_int;
        }
        let ffrac = 2 * ((pitch_frac + 2) % 3) + 2;
        let off = EXCITATION_OFFSET + sf * 48 + (if pitch_frac <= 0 { 1 } else { 0 });
        for i in 0..48 {
            let mut sum: f32 = 0.0;
            let estart = off + i - self.pitch_int;
            for j in 0..10 {
                let idx0 = ((j * 6) as i32) + ffrac;
                let idx1 = ((j * 6) as i32) + 6 - ffrac;
                sum += self.excitation[estart + j]     * SIPRO_SINC_LBR[idx0 as usize];
                sum += self.excitation[estart - j - 1] * SIPRO_SINC_LBR[idx1 as usize];
            }
            self.excitation[EXCITATION_OFFSET + sf * 48 + i] = sum;
        }
    }
    fn unpack_pulses_16k(&mut self, sf: usize) {
        self.npulses = 10;
        for i in 0..5 {
            let off1 = (self.fc_index[sf][i * 2 + 0] & 0xF) * 5 + (i as i16);
            let off2 = (self.fc_index[sf][i * 2 + 1] & 0xF) * 5 + (i as i16);
            let sign = if (self.fc_index[sf][i * 2 + 1] & 0x10) != 0 { -1 } else { 1 };
            self.pulse_data[i * 4 + 0] = off1;
            self.pulse_data[i * 4 + 1] = if off1 < off2 { -sign } else { sign };
            self.pulse_data[i * 4 + 2] = off2;
            self.pulse_data[i * 4 + 3] = sign;
        }
        self.fix_vec = [0.0; 80];
        let pitch_frac = SIPRO_GAIN_PITCH_CB_16K[self.gp_index[sf]].min(1.0);
        for i in 0..10 {
            let mut scale = self.pulse_data[i * 2 + 1] as f32;
            let off = self.pulse_data[i * 2 + 0] as usize;
            for j in (off..80).step_by(self.prev_pitch) {
                self.fix_vec[j] += scale;
                scale *= pitch_frac;
            }
        }
    }
    fn unpack_pulses_8_5k(&mut self, sf: usize) {
        self.npulses = 6;
        for i in 0..3 {
            self.pulse_data[i * 4 + 0] = 3 * ((self.fc_index[sf][i] >> 4) & 0xF) + (i as i16);
            self.pulse_data[i * 4 + 2] = 3 * ((self.fc_index[sf][i] >> 0) & 0xF) + (i as i16);
            self.pulse_data[i * 4 + 1] = if (self.fc_index[sf][i] & 0x100) != 0 { -1 } else { 1 };
            self.pulse_data[i * 4 + 3] = if (self.fc_index[sf][i] & 0x100) != 0 { -1 } else { 1 };
            if self.pulse_data[i * 4 + 2] < self.pulse_data[i * 4 + 0] {
                self.pulse_data[i * 4 + 3] = -self.pulse_data[i * 4 + 3];
            }
        }
        self.unpack_pulses_common();
    }
    fn unpack_pulses_6_5k(&mut self, sf: usize) {
        self.npulses = 3;
        for i in 0..3 {
            self.pulse_data[i * 2 + 0] = 3 * (self.fc_index[sf][i] & 0xF) + (i as i16);
            self.pulse_data[i * 2 + 1] = if (self.fc_index[sf][i] & 0x10) != 0 { -1 } else { 1 };
        }
        self.unpack_pulses_common();
    }
    fn unpack_pulses_5k(&mut self, sf: usize) {
        if self.prev_pitch_gain < 0.8 {
            self.npulses = 3;
            let mut cw = self.fc_index[sf][0];
            let off = if (cw & 0x200) != 0 { 2 } else { 0 };
            for i in 0..3 {
                self.pulse_data[i * 2 + 0] = (cw & 7) * 6 + 4 - (i as i16) * 2;
                self.pulse_data[i * 2 + 1] = if ((self.pulse_data[i * 2 + 0] + off) & 3) != 0 { -1 } else { 1 };
                cw >>= 3;
            }
        } else {
            self.npulses = 2;
            let off = (self.fc_index[sf][0] >> 8) & 1;
            self.pulse_data[0] = 3 * ((self.fc_index[sf][0] >> 4) & 0xF) + off;
            self.pulse_data[1] = if (self.fc_index[sf][0] & 0x200) != 0 { -1 } else { 1 };
            self.pulse_data[2] = 3 * ((self.fc_index[sf][0] >> 0) & 0xF) + off + 1;
            self.pulse_data[3] = -self.pulse_data[1];
        }
        self.unpack_pulses_common();
    }
    fn unpack_pulses_common(&mut self) {
        for i in 0..48 {
            self.fix_vec[i] = 0.0;
        }
        for i in 0..self.npulses {
            let off = self.pulse_data[i * 2] as usize;
            let scale = self.pulse_data[i * 2 + 1] as f32;
            for j in off..48 {
                self.fix_vec[j] += scale * self.ir[10 + j - off];
            }
        }
    }
    fn eval_ir(&mut self, sf: usize) {
        let mut tmp: [f32; 48 + 1] = [0.0; 48 + 1];
        let mut filt: [f32; 16] = [0.0; 16];
        tmp[0] = 1.0;
        for i in 0..10 {
            tmp[i + 1] = self.sf_filter[sf][i] * SIPRO_POW_0_55[i];
            filt[i]    = self.sf_filter[sf][i] * SIPRO_POW_0_7[i];
        }
        synth_filter(&mut self.ir, 10, &filt, &tmp, 48, 10);
        for i in self.pitch_int..48 {
            self.ir[10 + i] += self.mode.pitch_sharp_factor * self.ir[10 + i - self.pitch_int];
        }
    }
    fn update_gain_16k(&mut self, sf: usize) {
        let mut energy: f64 = 0.0;
        for i in 0..80 {
            energy += (self.fix_vec[i] as f64) * (self.fix_vec[i] as f64);
        }
        let ehist = ((0.8 * self.energy_hist[0] + 0.6 * self.energy_hist[1]) as f64) - 71.30899869919435856603;
        let rms = 8.94427190999915878559 * (10.0f64.ln() / 20.0 * ehist).exp() / (0.01 + energy).sqrt();
        let gain = SIPRO_GAIN_CB_16K[self.gc_index[sf]] * (rms as f32);

        self.energy_hist[1] = self.energy_hist[0];
        self.energy_hist[0] = SIPRO_GAIN_DB_CB_16K[self.gc_index[sf]];

        let exc = &mut self.excitation[EXCITATION_OFFSET + sf * 80..][..80];
        for i in 0..80 {
            exc[i] = exc[i] * SIPRO_GAIN_PITCH_CB_16K[self.gp_index[sf]] + self.fix_vec[i] * gain;
        }
    }
    fn update_gain_lbr(&mut self, sf: usize) {
        let gain0 = SIPRO_GAIN_CB_LBR[self.gc_index[sf]][0];
        let gain1 = SIPRO_GAIN_CB_LBR[self.gc_index[sf]][1];
        self.prev_pitch_gain = gain0;

        self.avg_energy = 0.01;
        for el in self.fix_vec.iter().take(48) {
            self.avg_energy += *el * *el;
        }
        self.avg_energy /= 48.0;

        let mut sum: f32 = -56.30899869919435856603;
        for i in 0..4 {
            sum += self.energy_hist[i] * SIPRO_GAIN_PRED[i];
        }
        for i in 0..3 {
            self.energy_hist[i] = self.energy_hist[i + 1];
        }
        self.energy_hist[3] = 20.0 * gain1.log10();

        let gain = ((gain1 as f64) * ((sum as f64) * (10.0f64).ln() * 0.05).exp() / (self.avg_energy as f64).sqrt()) as f32;
        let exc = &mut self.excitation[EXCITATION_OFFSET + sf * 48..][..48];
        for i in 0..48 {
            exc[i] = exc[i] * gain0 + self.fix_vec[i] * gain;
        }

        let pitch_gain = (0.5 * gain0 * gain0).min(0.4);
        self.gain_mem = (0.7 * self.gain_mem + 0.3 * pitch_gain).min(pitch_gain);

        let gain = gain * self.gain_mem;

        for i in 0..48 {
            self.fix_vec[i] = exc[i] - gain * self.fix_vec[i];
        }
    }
    fn synth_subframe_16k(&mut self, sf: usize) {
        synth_filter(&mut self.synth, 16 + sf * 80, &self.sf_filter[sf], &self.excitation[EXCITATION_OFFSET + sf * 80..], 80, 16);
    }
    fn synth_subframe_lbr(&mut self, sf: usize) {
        if self.mode_type == SiproMode::Mode5k {
            self.postfilter_5k_sf(sf);
        }
        synth_filter(&mut self.synth, 10 + sf * 48, &self.sf_filter[sf], &self.fix_vec, 48, 10);
    }
    fn postfilter_16k(&mut self) {
        let mut filt: [f32; 16] = [0.0; 16];

        for i in 0..filt.len() {
            filt[i] = self.postfilt_16k_filt_prev[i] * SIPRO_POW_0_5[i];
        }

        let mut tmp: [f32; 64] = [0.0; 64];
        for i in 0..16 {
            tmp[i] = self.postfilt_16k_preemph[i];
        }
        synth_filter(&mut tmp, 16, &self.postfilt_16k_filt, &self.synth[16..], 30, 16);
        for i in 0..16 {
            self.synth[i] = self.postfilt_16k_preemph[i];
        }
        let mut tsrc: [f32; 30] = [0.0; 30];
        tsrc.copy_from_slice(&self.synth[16..][..30]);
        synth_filter(&mut self.synth, 16, &filt, &tsrc, 30, 16);
        for i in 0..16 {
            self.postfilt_16k_buf[30 - 16 + i] = self.synth[30 + i];
        }
        synth_filter(&mut self.postfilt_16k_buf, 30, &filt, &self.synth[30 + 16..], 2 * 80 - 30, 16);
        self.postfilt_16k_filt = filt;
        for i in 0..16 {
            self.postfilt_16k_preemph[i]   = self.postfilt_16k_buf[2 * 80 - 16 + i];
            self.postfilt_16k_filt_prev[i] = self.sf_filter[1][i];
        }

        for i in 0..30 {
            self.postfilt_16k_buf[i] = tmp[i + 16] + (i as f32) * (self.synth[i + 16] - tmp[i + 16]) / 30.0;
        }
    }
    fn postfilter_5k_sf(&mut self, sf: usize) {
        let mut d: [f32; 10] = [0.0; 10];
        let mut n: [f32; 10] = [0.0; 10];

        for i in 0..10 {
            d[i] = self.sf_filter[sf][i] * SIPRO_POW_0_75[i];
            n[i] = self.sf_filter[sf][i] * SIPRO_POW_0_5[i];
        }

        let mut tmp: [f32; 48 + 10] = [0.0; 48 + 10];
        for i in 0..10 {
            tmp[i] = self.postfilt_5k_mem1[i];
        }
        synth_filter(&mut tmp, 10, &d, &self.fix_vec, 48, 10);
        for i in 0..10 {
            self.postfilt_5k_mem1[i] = tmp[i + 48];
        }

        let tilt = tmp[48 + 10 - 1];
        for i in (10+1..48+10).rev() {
            tmp[i] -= 0.4 * tmp[i - 1];
        }
        tmp[10] -= 0.4 * self.postfilt_5k_tilt;
        self.postfilt_5k_tilt = tilt;

        for i in 0..10 {
            tmp[i] = self.postfilt_5k_mem2[i];
        }
        for i in 0..10 {
            self.postfilt_5k_mem2[i] = tmp[i + 48];
        }

        for i in 0..48 { // almost but not exactly like synth_filter(fix_vec, 0, -n, tmp, 48, 10)
            self.fix_vec[i] = tmp[i + 10];
            for j in 0..10 {
                self.fix_vec[i] += n[j] * tmp[i + 10 - j - 1];
            }
        }

        synth_filter(&mut self.postfilt_5k, 10 + sf * 48, &self.sf_filter[sf],
                     &self.excitation[EXCITATION_OFFSET + sf * 48..], 48, 10);
    }
    fn postfilter_5k(&mut self) {
        for sf in 0..self.mode.subframes {
            let src = &self.postfilt_5k[10 + sf * 48..][..48];
            let mut fenergy: f32 = 0.0;
            for el in src.iter() {
                fenergy += *el * *el;
            }
            let mut senergy: f32 = 0.0;
            {
                let src = &self.synth[10 + sf * 48..][..48];
                for el in src.iter() {
                    senergy += *el * *el;
                }
            }

            let gain = if senergy != 0.0 { 0.1 * (fenergy / senergy).sqrt() } else { 0.1 };

            let dst = &mut self.synth[10 + sf * 48..][..48];
            for el in dst.iter_mut() {
                self.postfilt_5k_gain *= 0.9;
                self.postfilt_5k_gain += gain;
                *el *= self.postfilt_5k_gain;
            }
        }
        for i in 0..10 {
            self.postfilt_5k[i] = self.postfilt_5k[i + self.mode.subframes * 48];
        }
    }
    fn output_16k(&mut self, dst: &mut [f32]) {
        for i in 0..16 {
            self.synth_hist[i] = self.synth[80 * 2 + i];
        }
        for i in 0..EXCITATION_OFFSET {
            self.excitation[i] = self.excitation[80 * 2 + i];
        }
        self.postfilter_16k();
        for i in 0..80 * 2 {
            dst[i] = self.postfilt_16k_buf[i];
        }
    }
    fn output_lbr(&mut self, dst: &mut [f32]) {
        let out_size = self.mode.subframe_len * self.mode.subframes;
        for i in 0..10 {
            self.synth_hist[i] = self.synth[i + out_size];
        }
        if self.mode_type == SiproMode::Mode5k {
            self.postfilter_5k();
        }
        for i in 0..EXCITATION_OFFSET {
            self.excitation[i] = self.excitation[i + out_size];
        }
        for i in 0..out_size {
            let x = 0.939805806 * self.synth[i + 10] + 1.93307352 * self.iir_state[0] - 0.935891986 * self.iir_state[1];
            let y = x - 1.99997 * self.iir_state[0] + self.iir_state[1];
            self.iir_state[1] = self.iir_state[0];
            self.iir_state[0] = x;
            dst[i] = y;
        }
    }
}

fn lsp2poly(lsp: &[f32], poly: &mut [f64], order: usize) {
    poly[0] = 1.0;
    poly[1] = -2.0 * (lsp[0] as f64);
    for i in 1..order {
        poly[i + 1] = -2.0 * (lsp[2 * i] as f64) * poly[i] + 2.0 * poly[i - 1];
        for j in (2..i+1).rev() {
            poly[j] += -2.0 * (lsp[2 * i] as f64) * poly[j - 1] + poly[j - 2];
        }
        poly[1] += -2.0 * (lsp[2 * i] as f64);
    }
}

fn lsp2lpc_16k(lpc: &mut [f32], lsp: &[f32]) {
    let mut a: [f64; 10] = [0.0; 10];
    let mut b: [f64; 10] = [0.0; 10];
    lsp2poly(&lsp[0..], &mut a, 8);
    lsp2poly(&lsp[1..], &mut b, 8);
    for i in 0..8 {
        let ta = a[8 - i] + a[7 - i];
        let tb = b[8 - i] - b[7 - i];
        lpc[7 - i] = ((ta + tb) * 0.5) as f32;
        lpc[8 + i] = ((ta - tb) * 0.5) as f32;
    }
}
fn lsp2lpc_lbr(lpc: &mut [f32], lsp: &[f32]) {
    let mut a: [f64; 6] = [0.0; 6];
    let mut b: [f64; 6] = [0.0; 6];
    lsp2poly(&lsp[0..], &mut a[0..], 5);
    lsp2poly(&lsp[1..], &mut b[1..], 4);

    let ascale = (1.0 + lsp[9]) as f64;
    let bscale = (1.0 - lsp[9]) as f64;
    for i in 1..5 {
        let ta = ascale * a[i];
        let tb = bscale * (b[i + 1] - b[i - 1]);
        lpc[i - 1] = ((ta + tb) * 0.5) as f32;
        lpc[9 - i] = ((ta - tb) * 0.5) as f32;
    }
    lpc[4] = (ascale * a[5] * 0.5) as f32;
    lpc[9] = lsp[9];
}

fn synth_filter(dst: &mut [f32], doff: usize, filt: &[f32], src: &[f32], len: usize, order: usize) {
    for i in 0..len {
        dst[doff + i] = src[i];
        for j in 0..order {
            dst[doff + i] -= filt[j] * dst[doff + i - j - 1];
        }
    }
}

const CHMAP_MONO: [NAChannelType; 1] = [NAChannelType::C];

impl NADecoder for SiproDecoder {
    fn init(&mut self, info: Rc<NACodecInfo>) -> DecoderResult<()> {
        if let NACodecTypeInfo::Audio(ainfo) = info.get_properties() {
            let mut found = false;
            for i in 0..SIPRO_MODES.len() {
                if SIPRO_MODES[i].block_align == ainfo.get_block_len() {
                    self.mode = &SIPRO_MODES[i];
                    self.mode_type = SIPRO_MODE_FROM_IDX[i];
                    found = true;
                    break;
                }
            }
            validate!(found);

            let order = if self.mode_type.is16k() { 16 } else { 10 };
            for i in 0..order {
                self.lsp_hist[i] = (((i + 1) as f32) * PI / ((order + 1) as f32)).cos();
            }
            self.energy_hist = [-14.0; 4];
            self.pitch_lag_prev = 180;

            self.chmap.add_channels(&CHMAP_MONO);
            self.ainfo = NAAudioInfo::new(ainfo.get_sample_rate(),
                                          1,
                                          SND_F32P_FORMAT, 0);
            self.info = info.replace_info(NACodecTypeInfo::Audio(self.ainfo.clone()));
            Ok(())
        } else {
            Err(DecoderError::InvalidData)
        }
    }
    fn decode(&mut self, pkt: &NAPacket) -> DecoderResult<NAFrameRef> {
        let info = pkt.get_stream().get_info();
        validate!(info.get_properties().is_audio());
        let pktbuf = pkt.get_buffer();
        let frm_size = self.mode.block_align;
        let out_frm_size = self.mode.frames * self.mode.subframes * self.mode.subframe_len;
        let nframes = pktbuf.len() / frm_size;

        let duration = out_frm_size * nframes;

        let mut abuf = alloc_audio_buffer(self.ainfo, duration, self.chmap.clone())?;
        let mut adata = abuf.get_abuf_f32().unwrap();
        let mut dst = adata.get_data_mut();

        let frame_len = self.mode.subframe_len * self.mode.subframes;
        for (input, output) in pktbuf.chunks(frm_size).zip(dst.chunks_mut(out_frm_size)) {
            let mut br = BitReader::new(input, input.len(), BitReaderMode::LE);
            for dst in output.chunks_mut(frame_len) {
                self.unpack_frame(&mut br)?;
                if self.mode_type.is16k() {
                    self.decode_lsf_16k();
                } else {
                    self.decode_lsf_lbr();
                }
                for i in 0..64 {
                    self.ir[i] = 0.0;
                }
                for sf in 0..self.mode.subframes {
                    if self.mode_type.is16k() {
                        self.calc_pitch_16k(sf);
                    } else {
                        self.calc_pitch_lbr(sf);
                        self.eval_ir(sf);
                    }
                    match self.mode_type {
                        SiproMode::Mode16k  => { self.unpack_pulses_16k(sf); },
                        SiproMode::Mode8_5k => { self.unpack_pulses_8_5k(sf); },
                        SiproMode::Mode6_5k => { self.unpack_pulses_6_5k(sf); },
                        SiproMode::Mode5k   => { self.unpack_pulses_5k(sf); },
                    }
                    if self.mode_type.is16k() {
                        self.update_gain_16k(sf);
                    } else {
                        self.update_gain_lbr(sf);
                    }
                    if self.mode_type.is16k() {
                        self.synth_subframe_16k(sf);
                    } else {
                        self.synth_subframe_lbr(sf);
                    }
                }
                if self.mode_type.is16k() {
                    self.output_16k(dst);
                } else {
                    self.output_lbr(dst);
                }
            }
        }

        let mut frm = NAFrame::new_from_pkt(pkt, self.info.clone(), abuf);
        frm.set_keyframe(true);
        Ok(Rc::new(RefCell::new(frm)))
    }
}

pub fn get_decoder() -> Box<NADecoder> {
    Box::new(SiproDecoder::new())
}

#[cfg(test)]
mod test {
    use crate::test::dec_video::*;
    #[test]
    fn test_sipro() {
        let file = "assets/RV/autahi-vox.rm";
        test_decode_audio("realmedia", file, Some(5000), "sipro");
    }
}

struct SiproModeInfo {
    block_align:        usize,
    frames:             usize,
    subframes:          usize,
    subframe_len:       usize,

    pred:               bool,
    vq_idx_bits:        [u8; 5],
    pitch_delay_bits:   [u8; 5],
    gp_idx_bits:        u8,
    fc_indices:         usize,
    fc_idx_bits:        [u8; 10],
    gc_idx_bits:        u8,

    pitch_sharp_factor: f32,
}

static SIPRO_MODES: [SiproModeInfo; 4] = [
    SiproModeInfo {
        block_align: 160/8, frames: 1, subframes: 2, subframe_len: 80,
        pred: true, vq_idx_bits: [ 7, 8, 7, 7, 7 ],
        pitch_delay_bits: [ 9, 6, 0, 0, 0 ], gp_idx_bits: 4,
        fc_indices: 10, fc_idx_bits: [ 4, 5, 4, 5, 4, 5, 4, 5, 4, 5 ],
        gc_idx_bits: 5, pitch_sharp_factor: 0.0
    },
    SiproModeInfo {
        block_align: 152/8, frames: 1, subframes: 3, subframe_len: 48,
        pred: false, vq_idx_bits: [ 6, 7, 7, 7, 5 ],
        pitch_delay_bits: [ 8, 5, 5, 0, 0 ], gp_idx_bits: 0,
        fc_indices: 3, fc_idx_bits: [ 9, 9, 9, 0, 0, 0, 0, 0, 0, 0 ],
        gc_idx_bits: 7, pitch_sharp_factor: 0.8
    },
    SiproModeInfo {
        block_align: 232/8, frames: 2, subframes: 3, subframe_len: 48,
        pred: false, vq_idx_bits: [ 6, 7, 7, 7, 5 ],
        pitch_delay_bits: [ 8, 5, 5, 0, 0 ], gp_idx_bits: 0,
        fc_indices: 3, fc_idx_bits: [ 5, 5, 5, 0, 0, 0, 0, 0, 0, 0 ],
        gc_idx_bits: 7, pitch_sharp_factor: 0.8
    },
    SiproModeInfo {
        block_align: 296/8, frames: 2, subframes: 5, subframe_len: 48,
        pred: false, vq_idx_bits: [ 6, 7, 7, 7, 5 ],
        pitch_delay_bits: [ 8, 5, 8, 5, 5 ], gp_idx_bits: 0,
        fc_indices: 1, fc_idx_bits: [ 10, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
        gc_idx_bits: 7, pitch_sharp_factor: 0.85
    },
];

const SIPRO_LSF_MIN_DIST: f32 = 0.0125 * PI;
const SIPRO_LSF_MIN_DIST_LAST: f32 = 1.3 * PI;

const SIPRO_LSF_CODEBOOK_LBR: [&[[f32; 2]]; 5] = [
    SIPRO_LSF_CB0_LBR, SIPRO_LSF_CB1_LBR, SIPRO_LSF_CB2_LBR, SIPRO_LSF_CB3_LBR, SIPRO_LSF_CB4_LBR
];

const SIPRO_LSF_CB0_LBR: &[[f32; 2]] = &[
    [  0.007587, -0.005843 ], [  0.042163, -0.028048 ], [ -0.017147, -0.060705 ],
    [  0.013773, -0.038108 ], [ -0.041563, -0.078571 ], [ -0.076928, -0.119343 ],
    [  0.012654,  0.176005 ], [  0.059737,  0.156869 ], [  0.171767,  0.231837 ],
    [  0.114030,  0.242047 ], [  0.168977,  0.283101 ], [  0.146210,  0.397961 ],
    [  0.249446,  0.268421 ], [  0.137074,  0.186724 ], [ -0.057736, -0.135638 ],
    [ -0.109664, -0.124611 ], [ -0.021234, -0.031174 ], [ -0.013990, -0.091819 ],
    [ -0.040046, -0.111426 ], [ -0.016830,  0.055361 ], [  0.057815,  0.071606 ],
    [  0.060670,  0.114436 ], [  0.106695,  0.140838 ], [  0.093601,  0.092793 ],
    [  0.039593,  0.006142 ], [ -0.066589, -0.092463 ], [ -0.102589, -0.171380 ],
    [ -0.059621, -0.050671 ], [  0.166131,  0.139773 ], [  0.213069,  0.190761 ],
    [  0.061820,  0.037661 ], [  0.136471,  0.090823 ], [ -0.019789,  0.013515 ],
    [  0.022280,  0.079473 ], [  0.215281,  0.461959 ], [  0.206497,  0.340077 ],
    [  0.012249, -0.065596 ], [  0.091345,  0.190871 ], [  0.019506,  0.037266 ],
    [ -0.050702, -0.013223 ], [ -0.057334,  0.028943 ], [  0.291512,  0.371415 ],
    [ -0.053467,  0.084160 ], [  0.025372,  0.375310 ], [  0.269995,  0.566520 ],
    [ -0.095259, -0.012353 ], [  0.050479,  0.212893 ], [  0.101219,  0.049320 ],
    [  0.072426,  0.283362 ], [ -0.084116, -0.150542 ], [ -0.031485,  0.144922 ],
    [  0.012714,  0.256910 ], [ -0.009528,  0.102768 ], [ -0.039572,  0.204967 ],
    [ -0.098800,  0.055038 ], [  0.020719,  0.128387 ], [ -0.045559, -0.178373 ],
    [ -0.082338,  0.136933 ], [ -0.058270,  0.292806 ], [  0.084242,  0.505112 ],
    [  0.121825,  0.326386 ], [ -0.102658, -0.069341 ], [  0.071675,  0.004744 ],
    [ -0.117763, -0.202608 ]
];

const SIPRO_LSF_CB1_LBR: &[[f32; 2]] = &[
    [  0.025412,  0.006095 ], [ -0.069803,  0.010650 ], [ -0.175957, -0.185800 ],
    [ -0.139298, -0.048013 ], [ -0.156150, -0.129688 ], [ -0.160523,  0.068022 ],
    [  0.199683,  0.259982 ], [  0.258038,  0.236147 ], [  0.367089,  0.304716 ],
    [  0.251764,  0.305853 ], [  0.394314,  0.382153 ], [  0.448579,  0.337438 ],
    [  0.323286,  0.425563 ], [  0.015369,  0.123820 ], [ -0.026770,  0.083881 ],
    [ -0.112161, -0.097993 ], [ -0.221847, -0.161311 ], [ -0.050014, -0.092862 ],
    [ -0.214960, -0.398498 ], [ -0.114062, -0.241381 ], [  0.137950,  0.138852 ],
    [  0.031529,  0.065719 ], [  0.208734,  0.084760 ], [  0.157862,  0.057535 ],
    [  0.124750,  0.011922 ], [ -0.035227, -0.154397 ], [ -0.105523, -0.291427 ],
    [ -0.073488, -0.201948 ], [ -0.224184, -0.273290 ], [ -0.168019, -0.240297 ],
    [ -0.271591, -0.384682 ], [ -0.124784,  0.014253 ], [  0.004210, -0.110418 ],
    [  0.074270, -0.014272 ], [  0.053058, -0.068672 ], [ -0.090098, -0.145019 ],
    [  0.303214,  0.210323 ], [  0.413443,  0.272002 ], [  0.356904,  0.230646 ],
    [ -0.035186, -0.028579 ], [ -0.117558,  0.115105 ], [ -0.159225,  0.218385 ],
    [ -0.230178,  0.172901 ], [ -0.216148, -0.110195 ], [  0.309444,  0.101508 ],
    [  0.250489,  0.118338 ], [  0.293324,  0.151205 ], [ -0.023634,  0.033084 ],
    [  0.076708,  0.114024 ], [  0.123119,  0.087704 ], [ -0.060265,  0.126543 ],
    [ -0.223766, -0.021903 ], [ -0.241987, -0.328089 ], [  0.205598,  0.147925 ],
    [ -0.087010,  0.064601 ], [ -0.287892, -0.286099 ], [ -0.179451, -0.350781 ],
    [ -0.219572,  0.043816 ], [ -0.217263,  0.245550 ], [ -0.286743, -0.180981 ],
    [  0.172659,  0.112620 ], [ -0.105422,  0.176856 ], [  0.006176, -0.051491 ],
    [  0.099802,  0.176322 ], [ -0.186620, -0.068980 ], [  0.164689,  0.185018 ],
    [  0.519877,  0.376111 ], [  0.521941,  0.533731 ], [  0.473375,  0.439534 ],
    [  0.214235,  0.202476 ], [  0.579215,  0.466969 ], [  0.310414,  0.271057 ],
    [  0.257450,  0.058939 ], [  0.023936, -0.169464 ], [ -0.268817, -0.064531 ],
    [ -0.174182, -0.000198 ], [ -0.268405, -0.234529 ], [ -0.296522,  0.247140 ],
    [  0.115950, -0.072194 ], [ -0.303666,  0.149084 ], [ -0.347762, -0.011002 ],
    [ -0.223829, -0.214137 ], [ -0.278958, -0.457975 ], [  0.135500,  0.238466 ],
    [  0.312730,  0.342760 ], [  0.071754, -0.125912 ], [  0.485938,  0.260429 ],
    [  0.037536,  0.179771 ], [  0.391493,  0.156938 ], [  0.397320,  0.484446 ],
    [ -0.308630, -0.342418 ], [ -0.269599, -0.128453 ], [ -0.086683, -0.043863 ],
    [  0.421115,  0.213521 ], [  0.082417,  0.049006 ], [ -0.087873,  0.238126 ],
    [  0.338899,  0.166131 ], [ -0.166988,  0.147105 ], [ -0.167214, -0.294075 ],
    [  0.588706,  0.328303 ], [  0.207270,  0.017671 ], [ -0.141658,  0.291147 ],
    [ -0.140850,  0.374321 ], [  0.028180,  0.322510 ], [ -0.229858,  0.328036 ],
    [ -0.060743, -0.260916 ], [ -0.011131,  0.246442 ], [ -0.058151,  0.310760 ],
    [ -0.127536, -0.186432 ], [ -0.128523, -0.334884 ], [ -0.283899,  0.077729 ],
    [ -0.031595,  0.181015 ], [ -0.329330, -0.108630 ], [ -0.215739,  0.107458 ],
    [  0.175734,  0.327134 ], [  0.255801,  0.176077 ], [  0.228265,  0.396859 ],
    [ -0.370909, -0.185081 ], [ -0.355138, -0.300405 ], [  0.061669,  0.242616 ],
    [  0.104489,  0.307995 ], [ -0.320021, -0.234002 ], [  0.077349,  0.416286 ],
    [ -0.339471, -0.407609 ], [ -0.019384, -0.215111 ], [  0.168229, -0.032453 ],
    [ -0.040140,  0.399658 ], [ -0.275141,  0.008218 ]
];

const SIPRO_LSF_CB2_LBR: &[[f32; 2]] = &[
    [  0.024608,  0.006198 ], [ -0.216616, -0.398169 ], [ -0.089601, -0.201370 ],
    [ -0.121878, -0.305281 ], [  0.037913,  0.059320 ], [  0.245126,  0.244089 ],
    [  0.266853,  0.182476 ], [  0.319362,  0.203481 ], [  0.349945,  0.252644 ],
    [  0.393849,  0.279272 ], [  0.445707,  0.258063 ], [  0.387321,  0.200855 ],
    [ -0.038818,  0.129603 ], [ -0.009510,  0.076441 ], [ -0.023892, -0.028199 ],
    [ -0.117134, -0.145990 ], [ -0.186585, -0.052886 ], [ -0.034250, -0.084547 ],
    [ -0.087443, -0.095426 ], [ -0.453322, -0.174493 ], [ -0.363975, -0.148186 ],
    [ -0.334413, -0.202479 ], [ -0.221313, -0.181320 ], [ -0.131146, -0.050611 ],
    [ -0.104706,  0.115139 ], [  0.192765,  0.275417 ], [  0.014184,  0.194251 ],
    [  0.154215,  0.226949 ], [  0.084031,  0.221759 ], [  0.189438,  0.164566 ],
    [  0.130737,  0.170962 ], [ -0.066815,  0.062954 ], [ -0.177176, -0.145167 ],
    [ -0.247608, -0.129767 ], [ -0.187886, -0.293720 ], [ -0.244036, -0.344655 ],
    [ -0.203063, -0.234947 ], [ -0.292715, -0.158421 ], [  0.064990, -0.028164 ],
    [  0.147664,  0.085995 ], [  0.107977,  0.002253 ], [  0.071286,  0.027533 ],
    [  0.021017, -0.049807 ], [ -0.272056, -0.217857 ], [ -0.065596,  0.008375 ],
    [ -0.150818, -0.195514 ], [ -0.012767, -0.150787 ], [  0.238541,  0.136606 ],
    [  0.291741,  0.114024 ], [  0.202677,  0.103701 ], [  0.140985,  0.037759 ],
    [ -0.257347, -0.442383 ], [ -0.320666, -0.319742 ], [ -0.488725, -0.603660 ],
    [ -0.319170, -0.469806 ], [  0.014970, -0.101074 ], [  0.102209,  0.066790 ],
    [ -0.076202, -0.044884 ], [  0.073868,  0.152565 ], [  0.070755, -0.091358 ],
    [ -0.016751,  0.027216 ], [  0.071201,  0.096981 ], [ -0.060975, -0.145638 ],
    [  0.114156,  0.117587 ], [ -0.284757, -0.029101 ], [ -0.253005, -0.073645 ],
    [ -0.204028, -0.098492 ], [ -0.114508,  0.001219 ], [ -0.225284, -0.011998 ],
    [ -0.235670,  0.084330 ], [  0.161921,  0.128334 ], [  0.025717,  0.119456 ],
    [ -0.255292, -0.281471 ], [ -0.392803, -0.095809 ], [  0.039229, -0.152110 ],
    [ -0.310905, -0.099233 ], [ -0.268773,  0.032308 ], [ -0.340150,  0.013129 ],
    [ -0.344890, -0.045157 ], [ -0.188423,  0.265603 ], [ -0.168235, -0.000936 ],
    [  0.000462,  0.297000 ], [  0.263674,  0.371214 ], [ -0.146797, -0.098225 ],
    [ -0.386557, -0.282426 ], [ -0.070940, -0.255550 ], [  0.293258,  0.252785 ],
    [  0.408332,  0.387751 ], [ -0.381914, -0.358918 ], [ -0.463621, -0.315560 ],
    [ -0.323681, -0.258465 ], [  0.250055,  0.071195 ], [ -0.405256, -0.429754 ],
    [ -0.135748, -0.251274 ], [  0.186827,  0.060177 ], [  0.116742, -0.053526 ],
    [ -0.403321, -0.220339 ], [ -0.414144, -0.021108 ], [ -0.416877,  0.050184 ],
    [ -0.470083, -0.079564 ], [ -0.315554,  0.219217 ], [ -0.273183,  0.138437 ],
    [  0.253231,  0.306374 ], [  0.177802,  0.346298 ], [  0.210358,  0.207697 ],
    [ -0.323480,  0.077519 ], [ -0.193136,  0.048170 ], [  0.114492,  0.292778 ],
    [ -0.130766,  0.056677 ], [ -0.171572, -0.349267 ], [ -0.370076, -0.536392 ],
    [ -0.311109, -0.389953 ], [  0.334928,  0.367664 ], [  0.351246,  0.438664 ],
    [  0.518803,  0.331253 ], [  0.437061,  0.327257 ], [  0.318906,  0.307389 ],
    [ -0.025972, -0.206758 ], [  0.373278,  0.325438 ], [  0.473488,  0.389441 ],
    [  0.478553,  0.477990 ], [  0.332783,  0.153825 ], [  0.212098,  0.452336 ],
    [  0.161522, -0.011212 ], [  0.209368,  0.020687 ], [ -0.086262,  0.204493 ],
    [ -0.388643,  0.133640 ], [ -0.177016,  0.134404 ]
];

const SIPRO_LSF_CB3_LBR: &[[f32; 2]] = &[
    [ -0.003594, -0.022447 ], [  0.070651,  0.028334 ], [ -0.290374, -0.018347 ],
    [ -0.224495, -0.370312 ], [ -0.269555, -0.131227 ], [ -0.122714, -0.267733 ],
    [  0.173325,  0.138698 ], [  0.161946,  0.020687 ], [  0.111706,  0.022510 ],
    [  0.097638,  0.056049 ], [  0.139754,  0.059920 ], [  0.056549, -0.050586 ],
    [  0.036301,  0.021501 ], [ -0.066347,  0.012324 ], [ -0.066972,  0.096136 ],
    [ -0.120062, -0.084201 ], [  0.011225,  0.047425 ], [ -0.012846, -0.067390 ],
    [ -0.116201,  0.122874 ], [ -0.027819,  0.035453 ], [ -0.024743,  0.072835 ],
    [ -0.034061, -0.001310 ], [  0.077469,  0.081609 ], [  0.128347,  0.139584 ],
    [  0.183416,  0.086563 ], [ -0.155839, -0.053775 ], [ -0.190403, -0.018639 ],
    [ -0.202548, -0.062841 ], [ -0.373733, -0.275094 ], [ -0.394260, -0.186513 ],
    [ -0.465700, -0.220031 ], [  0.064400, -0.095825 ], [ -0.262053, -0.199837 ],
    [ -0.167233, -0.094402 ], [  0.048600,  0.057567 ], [ -0.007122,  0.168506 ],
    [  0.050938,  0.156451 ], [ -0.060828,  0.147083 ], [ -0.171889,  0.195822 ],
    [ -0.218934,  0.138431 ], [ -0.270532,  0.195775 ], [ -0.405818,  0.075643 ],
    [ -0.440187,  0.193387 ], [ -0.484968,  0.157607 ], [ -0.480560,  0.067230 ],
    [ -0.436757, -0.111847 ], [ -0.040731, -0.040363 ], [ -0.202319, -0.170457 ],
    [ -0.158515, -0.134551 ], [ -0.356709, -0.378549 ], [ -0.268820, -0.289831 ],
    [ -0.188486, -0.289306 ], [ -0.148139, -0.177616 ], [ -0.071591, -0.191128 ],
    [ -0.052270, -0.150589 ], [ -0.020543, -0.116220 ], [  0.039584, -0.012592 ],
    [ -0.268226,  0.042704 ], [ -0.209755,  0.069423 ], [ -0.168964,  0.124504 ],
    [ -0.363240,  0.188266 ], [ -0.524935, -0.025010 ], [ -0.105894, -0.002699 ],
    [ -0.251830, -0.062018 ], [ -0.310480, -0.082325 ], [  0.014652,  0.083127 ],
    [ -0.136512,  0.033116 ], [ -0.073755, -0.025236 ], [  0.110766,  0.095954 ],
    [  0.002878,  0.011838 ], [ -0.074977, -0.244586 ], [ -0.047023, -0.081339 ],
    [ -0.183249,  0.029525 ], [  0.263435,  0.206934 ], [ -0.156721, -0.229993 ],
    [ -0.112224, -0.208941 ], [ -0.116534, -0.123191 ], [ -0.073988, -0.111668 ],
    [  0.029484, -0.137573 ], [ -0.009802, -0.161685 ], [ -0.023273,  0.114043 ],
    [ -0.332651,  0.049072 ], [ -0.394009,  0.018608 ], [ -0.433543, -0.035318 ],
    [ -0.368459, -0.108024 ], [ -0.350215, -0.037617 ], [ -0.321140, -0.178537 ],
    [  0.020307, -0.048487 ], [ -0.210512, -0.232274 ], [ -0.082140, -0.065443 ],
    [  0.081961, -0.009340 ], [  0.146794,  0.101973 ], [  0.213999,  0.124687 ],
    [  0.100217, -0.054095 ], [ -0.114411, -0.041403 ], [ -0.097631,  0.037061 ],
    [ -0.099651, -0.157978 ], [ -0.215790, -0.116550 ], [ -0.107100,  0.076300 ],
    [  0.084653,  0.126088 ], [  0.246439,  0.091442 ], [  0.160077,  0.188536 ],
    [  0.273900,  0.279190 ], [  0.320417,  0.232550 ], [  0.132710, -0.018988 ],
    [  0.018950, -0.091681 ], [ -0.032073, -0.202906 ], [  0.212789,  0.178188 ],
    [  0.208580,  0.239726 ], [  0.049420,  0.099840 ], [ -0.145695, -0.010619 ],
    [ -0.132525, -0.322660 ], [  0.019666,  0.126603 ], [  0.260809,  0.147727 ],
    [ -0.232795, -0.001090 ], [ -0.049826,  0.225987 ], [ -0.154774,  0.076614 ],
    [  0.045032,  0.221397 ], [  0.321014,  0.161632 ], [ -0.062379,  0.053586 ],
    [  0.132252,  0.246675 ], [  0.392627,  0.271905 ], [ -0.264585,  0.102344 ],
    [ -0.327200,  0.121624 ], [ -0.399642,  0.124445 ], [ -0.108335,  0.179171 ],
    [  0.100374,  0.182731 ], [  0.203852,  0.049505 ]
];

const SIPRO_LSF_CB4_LBR: &[[f32; 2]] = &[
    [ -0.047705,  0.008002 ], [  0.011332,  0.065028 ], [ -0.021796, -0.034777 ],
    [ -0.147394, -0.001241 ], [ -0.001577,  0.020599 ], [ -0.083827, -0.028975 ],
    [ -0.177707,  0.066046 ], [ -0.043241, -0.165144 ], [  0.053322,  0.096519 ],
    [ -0.097688,  0.106484 ], [ -0.023392,  0.111234 ], [ -0.146747, -0.159360 ],
    [  0.027241, -0.011806 ], [ -0.043156,  0.057667 ], [  0.019516, -0.062116 ],
    [  0.025990,  0.162533 ], [  0.091888,  0.009720 ], [ -0.098511,  0.036414 ],
    [  0.013722, -0.116512 ], [  0.054833, -0.180975 ], [  0.119497,  0.128774 ],
    [  0.118378, -0.125997 ], [  0.065882, -0.030932 ], [  0.120581, -0.039964 ],
    [ -0.050561, -0.088577 ], [  0.050134,  0.033194 ], [ -0.129654, -0.075112 ],
    [ -0.225334, -0.040234 ], [  0.070629, -0.084455 ], [  0.095508,  0.063548 ],
    [  0.150514,  0.034366 ], [  0.186092, -0.069272 ]
];

const SIPRO_MEAN_LSF_LBR: [f32; 10] = [
    0.297151,  0.452308,  0.765443,  1.134803,  1.421125,
    1.773822,  2.049173,  2.375914,  2.585097,  0.075756
];

const SIPRO_LSF_CODEBOOK_16K: [&[[f32; 3]]; 4] = [
    SIPRO_LSF_CB0_16K, SIPRO_LSF_CB1_16K, SIPRO_LSF_CB2_16K, SIPRO_LSF_CB3_16K
];

const SIPRO_LSF_CB0_16K: &[[f32; 3]] = &[
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    [ -0.061700, -0.142830, -0.251623 ], [ -0.041512, -0.115637, -0.229420 ],
    [ -0.036544, -0.107512, -0.173125 ], [ -0.024158, -0.088450, -0.204144 ],
    [ -0.038690, -0.103368, -0.132674 ], [ -0.056954, -0.128472, -0.104669 ],
    [ -0.020963, -0.076785, -0.163199 ], [ -0.012952, -0.077249, -0.128385 ],
    [ -0.032787, -0.097044, -0.093967 ], [ -0.035214, -0.053838, -0.111940 ],
    [ -0.013850, -0.036926, -0.139328 ], [ -0.004956, -0.065092, -0.087709 ],
    [ -0.065354, -0.065595, -0.079064 ], [ -0.023627, -0.081457, -0.054195 ],
    [ -0.027335, -0.035244, -0.068034 ], [  0.016555, -0.047075, -0.128286 ],
    [  0.021066, -0.037252, -0.092041 ], [  0.014681, -0.043044, -0.057739 ],
    [ -0.008493, -0.008143, -0.102486 ], [ -0.002303, -0.061540, -0.022952 ],
    [ -0.006061, -0.014278, -0.033652 ], [ -0.005276,  0.011246, -0.062762 ],
    [  0.043411, -0.006303, -0.063730 ], [  0.035885, -0.010052, -0.115290 ],
    [  0.030628, -0.031538, -0.017807 ], [  0.022345,  0.028210, -0.032335 ],
    [  0.026535,  0.027536, -0.091150 ], [ -0.003365, -0.008077,  0.015687 ],
    [ -0.026013,  0.017493, -0.010355 ], [  0.059069,  0.010634, -0.007530 ],
    [  0.044038, -0.019424,  0.030453 ], [ -0.036065, -0.034215, -0.007758 ],
    [  0.022486,  0.042543,  0.027870 ], [ -0.049985, -0.016085,  0.021768 ],
    [ -0.021715,  0.021168,  0.052076 ], [ -0.004243, -0.061228,  0.027640 ],
    [ -0.033950, -0.017287,  0.064656 ], [  0.016151,  0.000727,  0.062757 ],
    [ -0.063456, -0.043152,  0.056707 ], [ -0.067715,  0.006126,  0.058178 ],
    [ -0.038931,  0.051673,  0.030636 ], [ -0.073017, -0.074716,  0.026387 ],
    [ -0.039893, -0.104629,  0.039616 ], [ -0.073179, -0.074601,  0.082069 ],
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    [ -0.030382, -0.092582,  0.091067 ], [ -0.084519, -0.137542,  0.023626 ],
    [ -0.060956, -0.121259, -0.015264 ], [ -0.030069, -0.093823, -0.008692 ],
    [ -0.063564, -0.065225, -0.025820 ], [ -0.052074, -0.117595, -0.059689 ],
    [ -0.091652, -0.165173, -0.045573 ], [ -0.070167, -0.121342,  0.131707 ],
    [ -0.061024, -0.005833, -0.051035 ], [  0.007837, -0.051816,  0.074575 ],
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    [  0.062166,  0.064323,  0.117371 ], [  0.022967,  0.100050,  0.077227 ],
    [  0.041795,  0.096343,  0.170421 ], [  0.053189,  0.122931,  0.118549 ],
    [  0.094247,  0.094448,  0.078395 ], [  0.082407,  0.033408,  0.041085 ],
    [  0.096820,  0.115960,  0.149433 ], [  0.067804,  0.121849,  0.025336 ],
    [ -0.008421,  0.104316,  0.032314 ], [  0.031013,  0.073218, -0.004899 ],
    [  0.085079,  0.060323, -0.009687 ], [  0.028174,  0.092766, -0.055590 ],
    [  0.070133,  0.039160, -0.061035 ], [ -0.039211,  0.072517, -0.028756 ],
    [  0.129686,  0.100233, -0.046998 ], [  0.154189,  0.107616,  0.022791 ],
    [ -0.049331,  0.094184,  0.087984 ], [ -0.013179,  0.126552,  0.125099 ],
    [ -0.058716,  0.098524,  0.150886 ], [ -0.022753,  0.080011,  0.191127 ],
    [  0.013451,  0.164593,  0.153768 ], [  0.074818,  0.181214,  0.108211 ],
    [  0.091323,  0.169249,  0.168460 ], [  0.033885,  0.155516,  0.213745 ],
    [ -0.032128,  0.227238,  0.135815 ], [ -0.059176,  0.168980,  0.229110 ],
    [  0.033917,  0.229753,  0.222264 ], [  0.082702,  0.116370,  0.224697 ],
    [  0.127737,  0.186658,  0.212783 ], [  0.047528,  0.063920,  0.216856 ],
    [ -0.002446,  0.114174,  0.263289 ], [ -0.077783,  0.082523,  0.249697 ],
    [  0.010023,  0.024267,  0.256874 ], [  0.053190,  0.111422,  0.310407 ],
    [ -0.078804,  0.004444,  0.224078 ], [ -0.055253, -0.059180,  0.217892 ],
    [ -0.065371,  0.008124,  0.333405 ], [ -0.076188, -0.098767,  0.286983 ],
    [ -0.071911, -0.115804,  0.198031 ], [ -0.062473,  0.183639,  0.370162 ],
    [ -0.042666,  0.255210,  0.262720 ], [  0.011999,  0.217530,  0.318291 ],
    [ -0.042144,  0.322087,  0.326387 ], [  0.090663,  0.205835,  0.294784 ],
    [  0.058218,  0.293649,  0.277927 ], [  0.157506,  0.282870,  0.294610 ],
    [  0.118248,  0.261007,  0.148614 ], [  0.065261,  0.332362,  0.411912 ],
    [  0.141269,  0.451850,  0.315726 ], [  0.001706,  0.456301,  0.357590 ],
    [ -0.052947,  0.356559,  0.456944 ], [  0.247707,  0.263837,  0.152591 ],
    [  0.306847,  0.417373,  0.258553 ], [  0.166347,  0.149222,  0.118973 ],
    [  0.379709,  0.292172,  0.139875 ], [  0.010171, -0.055170, -0.174523 ]
];

const SIPRO_LSF_CB1_16K: &[[f32; 3]] = &[
    [ -0.213011, -0.293385, -0.330597 ], [ -0.212582, -0.240992, -0.338239 ],
    [ -0.223373, -0.306214, -0.277192 ], [ -0.231138, -0.287729, -0.229412 ],
    [ -0.238466, -0.228571, -0.260954 ], [ -0.140931, -0.247018, -0.258566 ],
    [ -0.136239, -0.249669, -0.350143 ], [ -0.149738, -0.192970, -0.281475 ],
    [ -0.167058, -0.261052, -0.196301 ], [ -0.177049, -0.201324, -0.207897 ],
    [ -0.116915, -0.200629, -0.212526 ], [ -0.162247, -0.143805, -0.245093 ],
    [ -0.082042, -0.191842, -0.266338 ], [ -0.098846, -0.208511, -0.320481 ],
    [ -0.113510, -0.152470, -0.222474 ], [ -0.066197, -0.179112, -0.207813 ],
    [ -0.129490, -0.169320, -0.155238 ], [ -0.078843, -0.190292, -0.155172 ],
    [ -0.087790, -0.147729, -0.169351 ], [ -0.141037, -0.127207, -0.177910 ],
    [ -0.126525, -0.223961, -0.153639 ], [ -0.101464, -0.189953, -0.114559 ],
    [ -0.102450, -0.106303, -0.151171 ], [ -0.103208, -0.144457, -0.105378 ],
    [ -0.170794, -0.140525, -0.136428 ], [ -0.168641, -0.203064, -0.135368 ],
    [ -0.138193, -0.116042, -0.111905 ], [ -0.145085, -0.168581, -0.092613 ],
    [ -0.126379, -0.220431, -0.091327 ], [ -0.212934, -0.184797, -0.101632 ],
    [ -0.193711, -0.140556, -0.078304 ], [ -0.173674, -0.197276, -0.060140 ],
    [ -0.197897, -0.241907, -0.091997 ], [ -0.156037, -0.258519, -0.111628 ],
    [ -0.241964, -0.191124, -0.063140 ], [ -0.261340, -0.240847, -0.103132 ],
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    [ -0.025162, -0.073363,  0.005173 ], [ -0.123371, -0.041257, -0.008375 ],
    [ -0.139904,  0.018285,  0.009920 ], [ -0.143421, -0.104238,  0.033457 ],
    [ -0.100923, -0.134400, -0.023257 ], [ -0.157791, -0.095042, -0.036959 ],
    [ -0.219890, -0.078637,  0.001815 ], [ -0.183607, -0.023053, -0.043678 ],
    [ -0.145303, -0.158923, -0.059045 ], [ -0.197615, -0.165199,  0.028099 ],
    [ -0.225131, -0.167756, -0.056401 ], [ -0.216572, -0.104751, -0.102964 ],
    [ -0.171336, -0.241967, -0.063404 ], [ -0.134035, -0.205614,  0.011831 ],
    [ -0.297116, -0.211173, -0.015352 ], [ -0.086464, -0.200592, -0.070454 ],
    [ -0.217777, -0.278403,  0.030398 ], [ -0.236248, -0.323694, -0.087588 ],
    [ -0.222074, -0.210785,  0.106210 ], [ -0.283400, -0.097077,  0.041303 ],
    [ -0.078417, -0.154464,  0.062956 ], [ -0.214417, -0.100695,  0.121909 ],
    [ -0.178576, -0.028847,  0.061042 ], [ -0.037999, -0.144233, -0.010546 ],
    [ -0.086695, -0.070996,  0.125282 ], [  0.010788, -0.085006,  0.058527 ],
    [ -0.154015,  0.066560,  0.071038 ], [ -0.143503,  0.033260,  0.154393 ],
    [ -0.134069,  0.032420, -0.056293 ], [ -0.110851,  0.086908,  0.003920 ],
    [ -0.057254,  0.047674, -0.055571 ], [ -0.214206,  0.068784, -0.004735 ],
    [ -0.257264,  0.050468,  0.081702 ], [ -0.291834,  0.004120, -0.022366 ],
    [ -0.173309, -0.029081, -0.115901 ], [ -0.207622,  0.168664,  0.136030 ],
    [  0.090541,  0.032754, -0.057330 ], [  0.140219, -0.000735, -0.015633 ],
    [  0.136697, -0.017163, -0.100909 ], [  0.029838, -0.089515, -0.147130 ],
    [ -0.055367, -0.072683, -0.214015 ], [  0.048680, -0.057633, -0.212429 ],
    [ -0.013134, -0.113898, -0.196403 ], [ -0.071702, -0.159408, -0.254895 ]
];

const SIPRO_LSF_CB4_16K: [[f32; 4]; 128] = [
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    [ -0.214667, -0.151922, -0.117551, -0.192713 ],
    [ -0.160962, -0.207728, -0.124750, -0.129749 ],
    [ -0.131043, -0.137818, -0.155281, -0.166308 ],
    [ -0.179134, -0.169602, -0.165223, -0.066293 ],
    [ -0.136474, -0.177035, -0.250127, -0.134370 ],
    [ -0.066970, -0.146274, -0.170638, -0.134436 ],
    [ -0.083288, -0.165860, -0.103437, -0.140361 ],
    [ -0.130474, -0.119317, -0.124393, -0.086408 ],
    [ -0.127609, -0.134415, -0.073592, -0.116103 ],
    [ -0.113027, -0.091756, -0.107786, -0.131935 ],
    [ -0.125530, -0.182152, -0.093796, -0.045088 ],
    [ -0.077122, -0.138052, -0.166271, -0.038886 ],
    [ -0.073027, -0.106845, -0.067073, -0.113910 ],
    [ -0.049146, -0.107019, -0.112531, -0.063388 ],
    [ -0.101539, -0.119586, -0.050297, -0.040670 ],
    [ -0.107784, -0.066913, -0.080993, -0.052352 ],
    [ -0.152155, -0.103010, -0.090461, -0.015526 ],
    [ -0.153087, -0.087656, -0.029889, -0.037367 ],
    [ -0.215281, -0.138062, -0.089162, -0.050839 ],
    [ -0.053350, -0.060169, -0.063459, -0.024499 ],
    [ -0.051674, -0.076355, -0.033733, -0.077211 ],
    [ -0.045047, -0.107006, -0.020880, -0.024525 ],
    [ -0.083003, -0.063672, -0.013243, -0.028324 ],
    [ -0.104104, -0.075450, -0.032746,  0.024480 ],
    [ -0.085695, -0.019502, -0.045121, -0.025016 ],
    [ -0.123120, -0.030844, -0.003533, -0.016224 ],
    [ -0.025568, -0.049172, -0.003911, -0.027522 ],
    [ -0.039029, -0.019857, -0.043211, -0.058087 ],
    [ -0.040122, -0.023067, -0.001356,  0.008607 ],
    [ -0.063351, -0.001776,  0.016015, -0.027088 ],
    [ -0.068110, -0.038838,  0.042525,  0.001076 ],
    [ -0.043623, -0.020736, -0.047862,  0.037710 ],
    [ -0.041052,  0.021954, -0.025660,  0.000758 ],
    [ -0.013035,  0.002583, -0.008233, -0.037300 ],
    [ -0.005523, -0.014670,  0.019651, -0.012667 ],
    [ -0.004409, -0.014437, -0.059412, -0.019701 ],
    [  0.024946, -0.011663, -0.014351, -0.028762 ],
    [  0.012660,  0.018489, -0.010205,  0.012695 ],
    [ -0.004423,  0.017827,  0.040544,  0.003629 ],
    [  0.020684,  0.026743,  0.007752, -0.025595 ],
    [  0.032071,  0.000043,  0.026188, -0.006444 ],
    [  0.058793,  0.015820, -0.001119, -0.017415 ],
    [  0.020156, -0.047590,  0.004227,  0.008670 ],
    [  0.054770,  0.032135,  0.029770, -0.009767 ],
    [  0.030884,  0.047757,  0.033068,  0.006866 ],
    [  0.062039,  0.011646,  0.056037,  0.016859 ],
    [  0.013798, -0.028196,  0.060710,  0.014299 ],
    [  0.100043,  0.041445,  0.023379, -0.014889 ],
    [  0.062728, -0.042821,  0.002180, -0.055380 ],
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    [ -0.117482, -0.083718,  0.027074, -0.003674 ],
    [ -0.163085, -0.156856, -0.012618, -0.022329 ],
    [ -0.176540, -0.113042, -0.020148,  0.051770 ],
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    [ -0.237042, -0.130815, -0.022543, -0.029428 ],
    [ -0.201014, -0.053591, -0.007305, -0.033547 ],
    [ -0.249286, -0.228408,  0.005002,  0.007146 ],
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    [ -0.255702, -0.135114,  0.076375,  0.036630 ],
    [ -0.296271, -0.073946, -0.007273, -0.019601 ],
    [ -0.302917, -0.175111, -0.070024, -0.043905 ],
    [ -0.239275, -0.043962, -0.084982, -0.067446 ],
    [ -0.254583, -0.294720, -0.088762, -0.070451 ],
    [ -0.205583, -0.238996, -0.124753,  0.033076 ],
    [ -0.205583, -0.215882, -0.028472,  0.118679 ],
    [ -0.153640, -0.204464, -0.039654, -0.134441 ],
    [ -0.145929, -0.191970, -0.175308,  0.021366 ],
    [ -0.149348, -0.212569, -0.118324,  0.103812 ],
    [ -0.166397, -0.220581, -0.265260, -0.029113 ],
    [ -0.164171, -0.231262, -0.258828,  0.061427 ],
    [ -0.200198, -0.263453, -0.212016,  0.115359 ],
    [ -0.130088, -0.212168, -0.202368,  0.118563 ],
    [ -0.206387, -0.078075, -0.227856, -0.111165 ],
    [ -0.129605, -0.176848, -0.241584, -0.259900 ],
    [ -0.176826, -0.045901, -0.141712, -0.209345 ],
    [ -0.351173, -0.031097, -0.133935, -0.182412 ],
    [ -0.164232,  0.027006, -0.014039, -0.053567 ],
    [ -0.171037, -0.025924,  0.030972,  0.017329 ],
    [ -0.080862, -0.021577,  0.007652,  0.063968 ],
    [ -0.061788,  0.042024, -0.018783, -0.057979 ],
    [ -0.110311,  0.054760,  0.031446, -0.006710 ],
    [ -0.136637,  0.022171,  0.084991,  0.028039 ],
    [ -0.254471, -0.004376,  0.078034,  0.033649 ],
    [ -0.234464,  0.088157,  0.040999,  0.002639 ],
    [ -0.037095,  0.059443,  0.072180,  0.015027 ],
    [ -0.046841, -0.004813,  0.088266,  0.038786 ],
    [ -0.086782,  0.120100,  0.082655,  0.020271 ],
    [ -0.118361, -0.069242,  0.094867,  0.039200 ],
    [ -0.023342, -0.084303,  0.052684,  0.017093 ],
    [ -0.014194,  0.001012,  0.011946,  0.074125 ],
    [ -0.015342,  0.076396,  0.022365, -0.028001 ],
    [  0.027706,  0.037047,  0.107573,  0.060815 ],
    [  0.030615,  0.040664,  0.010467,  0.074289 ],
    [  0.038646,  0.115584,  0.069627,  0.007642 ],
    [  0.096463,  0.069818,  0.062494,  0.015413 ],
    [  0.054834,  0.065232,  0.054286,  0.110088 ],
    [  0.152312,  0.092371,  0.026420, -0.013184 ],
    [  0.144264,  0.123438,  0.080131,  0.023233 ],
    [  0.124405,  0.009943, -0.148477, -0.205184 ]
];

const SIPRO_MEAN_LSF_16K: [f32; 16] = [
    0.131554,  0.246615,  0.435896,  0.644419,
    0.827810,  1.017876,  1.198910,  1.379159,
    1.562157,  1.736908,  1.940719,  2.131963,
    2.347162,  2.521521,  2.717870,  2.847068
];

const SIPRO_POW_0_5: [f32; 16] = [
    0.5,
    0.25,
    0.125,
    0.0625,
    0.03125,
    0.015625,
    0.0078125,
    0.00390625,
    0.001953125,
    0.0009765625,
    0.00048828125,
    0.000244140625,
    0.0001220703125,
    0.00006103515625,
    0.000030517578125,
    0.0000152587890625
];
const SIPRO_POW_0_55: [f32; 10] = [
    0.550000, 0.302500, 0.166375, 0.091506, 0.050328,
    0.027681, 0.015224, 0.008373, 0.004605, 0.002533
];
const SIPRO_POW_0_7: [f32; 10] = [
    0.700000, 0.490000, 0.343000, 0.240100, 0.168070,
    0.117649, 0.082354, 0.057648, 0.040354, 0.028248
];
const SIPRO_POW_0_75: [f32; 10] = [
    0.750000, 0.562500, 0.421875, 0.316406, 0.237305,
    0.177979, 0.133484, 0.100113, 0.075085, 0.056314
];

const SIPRO_GAIN_CB_16K: [f32; 32] = [
    0.07499,  0.10593,  0.14125,  0.18836,
    0.23714,  0.28184,  0.32734,  0.37584,
    0.42170,  0.47315,  0.53088,  0.59566,
    0.66834,  0.74989,  0.84140,  0.94406,
    1.05925,  1.18850,  1.33352,  1.49624,
    1.67880,  1.88365,  2.11349,  2.37137,
    2.66073,  3.05492,  3.54813,  4.21697,
    5.30884,  7.07946,  9.44061, 13.33521,
];
const SIPRO_GAIN_CB_LBR: [[f32; 2]; 128] = [
    [ 0.035230, 0.161540 ], [ 0.049223, 0.448359 ], [ 0.057443, 0.809043 ],
    [ 0.072434, 1.760306 ], [ 0.111491, 0.566418 ], [ 0.112820, 1.098524 ],
    [ 0.143493, 0.726856 ], [ 0.144840, 0.347800 ], [ 0.180341, 1.050010 ],
    [ 0.188171, 2.197256 ], [ 0.189771, 0.256947 ], [ 0.198260, 0.484678 ],
    [ 0.210622, 0.755825 ], [ 0.220694, 0.590788 ], [ 0.237062, 1.322214 ],
    [ 0.255175, 0.338710 ], [ 0.298980, 0.919051 ], [ 0.314627, 0.520961 ],
    [ 0.337106, 1.469863 ], [ 0.341422, 2.804546 ], [ 0.363257, 0.736222 ],
    [ 0.363881, 0.367640 ], [ 0.369850, 1.937934 ], [ 0.370136, 1.075201 ],
    [ 0.397152, 0.549410 ], [ 0.426557, 0.876015 ], [ 0.450686, 0.215588 ],
    [ 0.468116, 0.671848 ], [ 0.470495, 1.242034 ], [ 0.474180, 1.739845 ],
    [ 0.484875, 0.490564 ], [ 0.498917, 0.971238 ], [ 0.530996, 0.785765 ],
    [ 0.539768, 2.130689 ], [ 0.546021, 0.589544 ], [ 0.546632, 3.050846 ],
    [ 0.552336, 0.389775 ], [ 0.556302, 1.400103 ], [ 0.559688, 1.105421 ],
    [ 0.574140, 0.667513 ], [ 0.595547, 0.828943 ], [ 0.597771, 0.496929 ],
    [ 0.617079, 1.863075 ], [ 0.619657, 1.221713 ], [ 0.621172, 0.950275 ],
    [ 0.628426, 0.630766 ], [ 0.628689, 4.242164 ], [ 0.640899, 1.529846 ],
    [ 0.645813, 0.331127 ], [ 0.653056, 0.748168 ], [ 0.662909, 1.077438 ],
    [ 0.669505, 2.631114 ], [ 0.681570, 1.839298 ], [ 0.687844, 0.903400 ],
    [ 0.688660, 1.270830 ], [ 0.695070, 0.578227 ], [ 0.697926, 0.428440 ],
    [ 0.715454, 0.812355 ], [ 0.729981, 1.539357 ], [ 0.737434, 1.106765 ],
    [ 0.740241, 2.033374 ], [ 0.740871, 0.568460 ], [ 0.752689, 0.698461 ],
    [ 0.756587, 0.893078 ], [ 0.767797, 0.499246 ], [ 0.768516, 3.712434 ],
    [ 0.773153, 1.332360 ], [ 0.786125, 1.042996 ], [ 0.788792, 0.238388 ],
    [ 0.790861, 2.273229 ], [ 0.795338, 1.582767 ], [ 0.809621, 0.595501 ],
    [ 0.821032, 0.756460 ], [ 0.824590, 0.922925 ], [ 0.826019, 1.186793 ],
    [ 0.827426, 1.885076 ], [ 0.830080, 6.088666 ], [ 0.837028, 2.819993 ],
    [ 0.845561, 1.490623 ], [ 0.848323, 0.410436 ], [ 0.856522, 0.729725 ],
    [ 0.862636, 0.966880 ], [ 0.874561, 1.681660 ], [ 0.874751, 1.177630 ],
    [ 0.879289, 2.301300 ], [ 0.886671, 0.613068 ], [ 0.896729, 0.781097 ],
    [ 0.904777, 3.484111 ], [ 0.906098, 1.330892 ], [ 0.919182, 1.877203 ],
    [ 0.919901, 0.569511 ], [ 0.921772, 1.034126 ], [ 0.922439, 0.376000 ],
    [ 0.934221, 1.485214 ], [ 0.938842, 0.869135 ], [ 0.939166, 2.378294 ],
    [ 0.958933, 1.122722 ], [ 0.959042, 0.694098 ], [ 0.960995, 1.743430 ],
    [ 0.970763, 2.884897 ], [ 0.982881, 0.814506 ], [ 0.990141, 1.330022 ],
    [ 0.996447, 1.823381 ], [ 1.000013, 0.967498 ], [ 1.000743, 0.480597 ],
    [ 1.008020, 5.095226 ], [ 1.013883, 2.105435 ], [ 1.026438, 0.691312 ],
    [ 1.027361, 1.558169 ], [ 1.030123, 3.586526 ], [ 1.033916, 1.118036 ],
    [ 1.039315, 2.543360 ], [ 1.068596, 0.836380 ], [ 1.081023, 1.318768 ],
    [ 1.093150, 2.267843 ], [ 1.095607, 1.712383 ], [ 1.102816, 1.037334 ],
    [ 1.103231, 3.536292 ], [ 1.107320, 0.508615 ], [ 1.150000, 7.999000 ],
    [ 1.156731, 1.236772 ], [ 1.168428, 2.268084 ], [ 1.184130, 0.775839 ],
    [ 1.210609, 1.511840 ], [ 1.220663, 4.365683 ], [ 1.224016, 0.983179 ],
    [ 1.252236, 2.778535 ], [ 1.301176, 1.923126 ]
];
const SIPRO_GAIN_PRED: [f32; 4] = [ 0.200, 0.334, 0.504, 0.691 ];

const SIPRO_GAIN_PITCH_CB_16K: [f32; 16] = [
    0.00, 0.2, 0.40, 0.5, 0.60, 0.7, 0.75, 0.8,
    0.85, 0.9, 0.95, 1.0, 1.05, 1.1, 1.15, 1.2,
];
const SIPRO_GAIN_DB_CB_16K: [f32; 32] = [
    -22.5, -19.5, -17.0, -14.5,
    -12.5, -11.0,  -9.7,  -8.5,
     -7.5,  -6.5,  -5.5,  -4.5,
     -3.5,  -2.5,  -1.5,  -0.5,
      0.5,   1.5,   2.5,   3.5,
      4.5,   5.5,   6.5,   7.5,
      8.5,   9.7,  11.0,  12.5,
     14.5,  17.0,  19.5,  22.5,
];

const SIPRO_SINC_16K: [f32; 31] = [
     0.874475,  0.755101,  0.455962,  0.118807, -0.114223, -0.176778,
    -0.101923,  0.015553,  0.086555,  0.078193,  0.018660, -0.037513,
    -0.052733, -0.027459,  0.009967,  0.030278,  0.024050,  0.003055,
    -0.013862, -0.016162, -0.006725,  0.004212,  0.008634,  0.005721,
    -0.000000, -0.003710, -0.003690, -0.001228,  0.001409,  0.002610,
     0.0
];
const SIPRO_SINC_LBR: [f32; 61] = [
     0.89852900,  0.86505100,  0.76925700,  0.62405400,  0.44863900,  0.265289000,
     0.09591670, -0.04125980, -0.13433800, -0.17898600, -0.17852800, -0.142609000,
    -0.08493040, -0.02050780,  0.03695680,  0.07739260,  0.09552000,  0.091278100,
     0.06893920,  0.03570560,  0.0       , -0.03054810, -0.05041500, -0.057006800,
    -0.05084230, -0.03500370, -0.01416020,  0.00665283,  0.02307130,  0.032348600,
     0.03353880,  0.02758790,  0.01678470,  0.00411987, -0.00747681, -0.015686000,
    -0.01934810, -0.01837160, -0.01376340, -0.00704956,  0.0       ,  0.005828860,
     0.00939941,  0.01037600,  0.00903320,  0.00604248,  0.00238037, -0.001098630,
    -0.00366211, -0.00497437, -0.00503540, -0.00402832, -0.00241089, -0.000579834,
     0.00103760,  0.00222778,  0.00277710,  0.00271606,  0.00213623,  0.001159670,
     0.0
];