Working FFTs
This commit is contained in:
138
src/main.rs
138
src/main.rs
@ -1,5 +1,8 @@
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use std::{
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f32::consts::PI, fs::File, io::{Read, Write}, ops::{Add, Div, Mul, Sub}
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f32::consts::PI,
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fs::File,
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io::{Read, Write},
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ops::{Add, Div, Mul, Sub},
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};
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mod bfsk;
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@ -15,12 +18,11 @@ use nco::Nco;
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use plotters::prelude::*;
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use crate::fft::{
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DFT, create_fft,
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DFT, FFTDirection, create_fft,
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dft::NaiveDFT,
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mixed_radix::MixedRadixFFT,
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prime_factors,
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rader::{RaderFFT, compute_prime_primitive_root, exp_mod},
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rader2::{Rader2FFT, next_pow2},
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radix2::Radix2FFT,
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windows,
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};
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@ -33,135 +35,7 @@ where
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((input - in_min.clone()) / (in_max - in_min)) * (out_max - out_min.clone()) + out_min
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}
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fn euclid_mod(a: f32, m: f32) -> f32 {
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let r = a % m;
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if r < 0.0 { r + m } else { r }
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}
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struct QuickLCG(i32);
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impl QuickLCG
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{
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pub fn seed(val: i32) -> QuickLCG
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{
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QuickLCG(val % 10)
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}
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pub fn next(&mut self) -> i32
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{
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self.0 = self.0.overflowing_mul(9321).0.overflowing_add(5672).0 % 10;
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self.0
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}
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}
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fn main() {
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//test();
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simple_test();
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}
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fn simple_test()
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{
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let sample_count = 7;
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let mut dft = NaiveDFT::create(sample_count);
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let mut fft = RaderFFT::create(sample_count);
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let mut rand = QuickLCG::seed(2981237);
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for (a, b) in dft.get_input().iter_mut().zip(fft.get_input().iter_mut())
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{
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let re = (rand.next() - 5) as f32;
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let im = (rand.next() - 5) as f32;
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*a = Complex32::new(re, im);
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*b = Complex32::new(re, im);
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}
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dft.execute(windows::rectanguar);
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fft.execute(windows::rectanguar);
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for (a, b) in dft.get_output().iter().zip(fft.get_output().iter())
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{
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println!("{:0<7.3} {:0<7.3} \t {:0<7.3} {:0<7.3}", a.re, a.im, b.re, b.im);
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}
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}
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fn test() {
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let freq1 = 2. * PI / 4.0;
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let freq2 = 2. * PI / 8.0;
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//let sample_count = 71*71;
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//let sample_count = 71 * 71;
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//let sample_count = 4804;
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let sample_count = 4809;
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let mut o1 = Nco::new(freq1);
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let mut o2 = Nco::new(freq2);
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//let mut fft = ::create(sample_count);
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//let mut dft = MixedRadixFFT::create(sample_count);
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let mut fft = create_fft(sample_count);
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//let mut dft = create_fft(sample_count);
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for x in fft.get_input().iter_mut() {
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*x = o1.cexp() + o2.cexp();
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//*y = *x;
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o1.step();
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o2.step();
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}
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fft.execute(windows::rectanguar);
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//dft.execute(windows::rectanguar);
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let root = BitMapBackend::new("out.png", (640, 480)).into_drawing_area();
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root.fill(&WHITE).unwrap();
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let mut chart = ChartBuilder::on(&root)
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.caption("fft", ("sans-serif", 50).into_font())
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.margin(5)
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.x_label_area_size(30)
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.y_label_area_size(30)
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.build_cartesian_2d(0f32..(sample_count as f32), -PI..PI)
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.unwrap();
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//chart.configure_mesh().draw()?;
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/*
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chart
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.draw_series(LineSeries::new(
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(0..sample_count)
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.zip(dft.get_output().iter())
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.map(|(x, y)| (x as f32, (*y).arg() )),
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&RED,
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))
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.unwrap()
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.legend(|(x, y)| PathElement::new(vec![(x, y), (x + 20, y)], RED));
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*/
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chart
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.draw_series(LineSeries::new(
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(0..sample_count)
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.zip(fft.get_output().iter())
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.map(|(x, y)| (x as f32, (*y).mag() / sample_count as f32)),
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&BLUE,
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))
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.unwrap()
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.legend(|(x, y)| PathElement::new(vec![(x, y), (x + 20, y)], BLUE));
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chart
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.configure_series_labels()
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.background_style(&WHITE.mix(0.8))
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.border_style(&BLACK)
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.draw()
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.unwrap();
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root.present().unwrap();
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let mut f = File::create("out.csv").unwrap();
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for x in fft.get_output().iter()
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{
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f.write_all(
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format!("{},\n", x.mag() / sample_count as f32).to_string().as_bytes()
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).unwrap();
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}
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}
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fn main() {}
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fn modulate() {
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let sample_rate = 44100;
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