X-Git-Url: https://git.nihav.org/?a=blobdiff_plain;ds=sidebyside;f=nihav-core%2Fsrc%2Fdsp%2Fmdct.rs;h=e6ed3dc9bdfd5994aad24ff48dca12e536e27362;hb=4e034a32d947e1ef5f357cc2477d6f1c3b8454a9;hp=540ae4527986b375f14420646fc6614753fc0c39;hpb=5641dccfbf2a70d589cf094a0d4ed5a10f919f00;p=nihav.git diff --git a/nihav-core/src/dsp/mdct.rs b/nihav-core/src/dsp/mdct.rs index 540ae45..e6ed3dc 100644 --- a/nihav-core/src/dsp/mdct.rs +++ b/nihav-core/src/dsp/mdct.rs @@ -1,6 +1,8 @@ +//! Modified Discrete Cosine transform functionality. use std::f32::consts; use super::fft::*; +/// IMDCT working context. pub struct IMDCT { twiddle: Vec, fft: FFT, @@ -19,18 +21,20 @@ fn imdct(src: &[f32], dst: &mut [f32], length: usize) { }*/ impl IMDCT { - pub fn new(mode: FFTMode, size: usize, scaledown: bool) -> Self { + /// Constructs a new instance of `IMDCT` context. + pub fn new(size: usize, scaledown: bool) -> Self { let mut twiddle: Vec = Vec::with_capacity(size / 4); let factor = 2.0 * consts::PI / ((8 * size) as f32); let scale = if scaledown { (1.0 / (size as f32)).sqrt() } else { 1.0 }; for k in 0..size/4 { twiddle.push(FFTComplex::exp(factor * ((8 * k + 1) as f32)).scale(scale)); } - let fft = FFTBuilder::new_fft(mode, size/4); + let fft = FFTBuilder::new_fft(size/4, false); let mut z: Vec = Vec::with_capacity(size / 2); z.resize(size / 2, FFTC_ZERO); IMDCT { twiddle, fft, size, z } } + /// Calculates IMDCT. pub fn imdct(&mut self, src: &[f32], dst: &mut [f32]) { let size2 = self.size / 2; let size4 = self.size / 4; @@ -39,7 +43,7 @@ impl IMDCT { let c = FFTComplex { re: src[size2 - 2 * k - 1], im: src[ 2 * k] }; self.z[k] = c * self.twiddle[k]; } - self.fft.do_fft_inplace(&mut self.z, false); + self.fft.do_ifft_inplace(&mut self.z); for k in 0..size4 { self.z[k] *= self.twiddle[k]; } @@ -54,4 +58,24 @@ impl IMDCT { dst[3 * size4 + 2 * n + 1] = -self.z[size4 - n - 1].re; } } + /// Calculates only non-mirrored part of IMDCT. + pub fn imdct_half(&mut self, src: &[f32], dst: &mut [f32]) { + let size2 = self.size / 2; + let size4 = self.size / 4; + let size8 = self.size / 8; + for k in 0..size4 { + let c = FFTComplex { re: src[size2 - 2 * k - 1], im: src[ 2 * k] }; + self.z[k] = c * self.twiddle[k]; + } + self.fft.do_ifft_inplace(&mut self.z); + for k in 0..size4 { + self.z[k] *= self.twiddle[k]; + } + for n in 0..size8 { + dst[ 2 * n] = -self.z[ n] .re; + dst[ 2 * n + 1] = self.z[size4 - n - 1].im; + dst[size4 + 2 * n] = -self.z[size8 + n] .re; + dst[size4 + 2 * n + 1] = self.z[size8 - n - 1].im; + } + } }