Working FFTs
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@ -1,19 +1,20 @@
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// Cooley-Tukey algorithm
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use crate::complex::Complex32;
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use crate::fft::DFT;
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use crate::fft::{DFT, FFTDirection};
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use std::f32::consts::PI;
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pub struct Radix2FFT {
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output_buffer: Box<[Complex32]>,
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input_buffer: Box<[Complex32]>,
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direction: FFTDirection,
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size: usize,
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length: usize,
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}
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impl DFT for Radix2FFT {
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// Size as power of two
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fn create(size: usize) -> Self {
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fn create(size: usize, direction: FFTDirection) -> Self {
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if !is_power_of_two(size) {
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panic!("Tried to create a Radix2 FFT with a non power of two size.");
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}
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@ -22,6 +23,7 @@ impl DFT for Radix2FFT {
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output_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
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input_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
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size: size.ilog2() as usize,
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direction,
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length: size,
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}
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}
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@ -41,7 +43,7 @@ impl DFT for Radix2FFT {
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// Compute current polynomial at each unit root
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let a = self.output_buffer[s + i];
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let b = self.output_buffer[s + i + mid_point];
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let angle = -2. * PI * (i as f32) / (pol_length as f32);
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let angle = -2. * self.direction.sign() * PI * (i as f32) / (pol_length as f32);
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let phasor = Complex32::cexp(angle);
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self.output_buffer[i + s] = a + phasor * b;
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self.output_buffer[i + s + mid_point] = a - phasor * b;
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