begin cleaning ffts
This commit is contained in:
60
src/bfsk.rs
60
src/bfsk.rs
@ -1,6 +1,10 @@
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// 2-FSK Modulator
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use crate::complex::Complex;
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use std::f32::consts::PI;
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use crate::complex::{Complex, Complex32};
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use crate::fft::{self, DFT, windows};
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use crate::map;
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use crate::nco::Nco;
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pub struct BFSKMod<'a, T: Iterator<Item = bool>> {
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@ -50,9 +54,59 @@ where
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pub struct BFSKDem {
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samples_per_bit: u32,
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deviation: f32,
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// State
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sample_index: u32,
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fft: Box<dyn DFT>,
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}
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impl BFSKDem {}
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impl BFSKDem {
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pub fn new(samples_per_bit: u32, deviation: f32) -> Self {
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BFSKDem {
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samples_per_bit,
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deviation,
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sample_index: 0,
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fft: fft::create_fft(samples_per_bit as usize, fft::FFTDirection::Forward),
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}
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}
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pub fn demod(&mut self, baseband: &[Complex32]) -> bool {
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assert!(baseband.len() >= self.samples_per_bit as usize);
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self.fft
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.get_input()
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.iter_mut()
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.enumerate()
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.for_each(|(i, x)| *x = baseband[i]);
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self.fft.execute(windows::rectanguar);
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let bin_id = map(
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self.deviation,
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0.,
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PI,
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0.,
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(self.samples_per_bit / 2) as f32,
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)
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.floor() as i32;
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let bin_width = 5;
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let mut positive_energy = 0.0;
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for i in (bin_id - bin_width)..(bin_id + bin_width) {
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if i >= 0 && i < self.samples_per_bit as i32 {
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positive_energy += self.fft.get_output()[i as usize].mag();
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}
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}
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let mut negative_energy = 0.0;
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for i in (self.samples_per_bit as i32 - bin_id - bin_width)
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..(self.samples_per_bit as i32 - bin_id + bin_width)
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{
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if i >= 0 && i < self.samples_per_bit as i32 {
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negative_energy += self.fft.get_output()[i as usize].mag();
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}
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}
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return positive_energy < negative_energy;
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}
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}
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@ -5,7 +5,7 @@ pub mod rader2;
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pub mod radix2;
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pub mod windows;
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use std::iter::Map;
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use std::{iter::Map, process::Output};
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use crate::{
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complex::Complex32,
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@ -32,10 +32,7 @@ pub trait DFT {
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where
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Self: Sized;
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fn get_input(&mut self) -> &mut [Complex32];
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fn get_output(&self) -> &[Complex32];
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fn execute(&mut self, window: fn(f32) -> f32);
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fn execute(&mut self, input: &[Complex32], output: &mut [Complex32], window: fn(f32) -> f32);
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}
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pub trait DFTWindow {
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@ -3,8 +3,6 @@ use crate::fft::{DFT, FFTDirection};
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use std::f32::consts::PI;
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pub struct NaiveDFT {
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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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}
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@ -14,18 +12,13 @@ impl DFT for NaiveDFT {
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where
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Self: Sized,
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{
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NaiveDFT {
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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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direction,
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size,
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}
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NaiveDFT { direction, size }
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}
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fn execute(&mut self, window: fn(f32) -> f32) {
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for (freq, out) in self.output_buffer.iter_mut().enumerate() {
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fn execute(&mut self, input: &[Complex32], output: &mut [Complex32], window: fn(f32) -> f32) {
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for (freq, out) in output.iter_mut().enumerate() {
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*out = Complex32::zero();
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for (i, inp) in self.input_buffer.iter().enumerate() {
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for (i, inp) in input.iter().enumerate() {
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*out = *out
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+ ((*inp
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* Complex32::cexp(
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@ -35,12 +28,4 @@ impl DFT for NaiveDFT {
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}
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}
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}
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fn get_input(&mut self) -> &mut [Complex32] {
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&mut self.input_buffer
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}
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fn get_output(&self) -> &[Complex32] {
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&self.output_buffer
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}
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}
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@ -8,8 +8,6 @@ use crate::{
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};
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pub struct MixedRadixFFT {
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input_buffer: Box<[Complex32]>,
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output_buffer: Box<[Complex32]>,
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size: usize,
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p: usize,
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@ -33,8 +31,6 @@ impl DFT for MixedRadixFFT {
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//let pfft = Box::new(NaiveDFT::create(p, direction));
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MixedRadixFFT {
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input_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
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output_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
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size,
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twiddle_factors: compute_twiddle_factors(size, direction),
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qfft,
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@ -46,7 +42,7 @@ impl DFT for MixedRadixFFT {
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}
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}
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fn execute(&mut self, window: fn(f32) -> f32) {
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fn execute(&mut self, input: &[Complex32], output: &mut [Complex32], window: fn(f32) -> f32) {
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// Perform p ffts of size q
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for k0 in 0..self.p {
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// Copy samples into input buffer
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@ -9,11 +9,9 @@ use crate::{
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};
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pub struct RaderFFT {
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input_buffer: Box<[Complex32]>,
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output_buffer: Box<[Complex32]>,
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permutations: Box<[usize]>,
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convolution_op: Box<[Complex32]>,
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staging_buffer: Box<[Complex32]>,
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inv_fft: Box<dyn DFT>,
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conv_fft: Box<dyn DFT>,
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@ -31,23 +29,20 @@ impl DFT for RaderFFT {
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let mut conv_fft = create_fft(size - 1, FFTDirection::Forward);
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//let mut conv_fft = create_fft(size - 1);
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conv_fft
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.get_input()
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.iter_mut()
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.enumerate()
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.for_each(|(i, x)| {
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*x = Complex32::cexp(
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let mut convolution_op = vec![Complex32::zero(); size - 1];
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let conv_fft_input: Vec<Complex32> = (0..(size - 1))
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.map(|i| {
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Complex32::cexp(
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-2. * direction.sign() * PI * (permutations[i] as f32) / (size as f32),
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)
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});
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conv_fft.execute(windows::rectanguar);
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})
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.collect();
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conv_fft.execute(&conv_fft_input, &mut convolution_op, windows::rectangular);
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RaderFFT {
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input_buffer: vec![Complex32::zero(); size].into(),
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output_buffer: vec![Complex32::zero(); size].into(),
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permutations,
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convolution_op: conv_fft.get_output().iter().copied().collect(),
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convolution_op: convolution_op.into(),
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staging_buffer: vec![Complex32::zero(); size - 1].into(),
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inv_fft: create_fft(size - 1, FFTDirection::Inverse),
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conv_fft,
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@ -55,41 +50,33 @@ impl DFT for RaderFFT {
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}
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}
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fn execute(&mut self, window: fn(f32) -> f32) {
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fn execute(&mut self, input: &[Complex32], output: &mut [Complex32], window: fn(f32) -> f32) {
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// Compute fft of input signal
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for i in 0..(self.size - 1) {
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let k = self.permutations[self.size - 1 - i - 1];
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self.conv_fft.get_input()[i] = self.input_buffer[k];
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self.staging_buffer[i] = input[k] * window(k as f32 / (self.size as f32));
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}
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self.conv_fft.execute(windows::rectanguar);
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self.conv_fft
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.execute(&self.staging_buffer, output, windows::rectangular);
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for i in 0..(self.size - 1) {
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self.output_buffer[i] = self.conv_fft.get_output()[i] * self.convolution_op[i];
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self.staging_buffer[i] = output[i] * self.convolution_op[i];
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}
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for i in 0..(self.size - 1) {
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//self.conv_fft.get_input()[i] = self.output_buffer[i];
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self.inv_fft.get_input()[i] = self.output_buffer[i];
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}
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self.inv_fft.execute(windows::rectanguar);
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self.inv_fft
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.execute(&self.staging_buffer, output, windows::rectangular);
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for i in 0..(self.size - 1) {
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let k = self.permutations[i];
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self.output_buffer[k] =
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(self.inv_fft.get_output()[i] / (self.size - 1) as f32) + self.input_buffer[0];
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self.staging_buffer[k - 1] = output[i];
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}
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self.output_buffer[0] = self.input_buffer.iter().copied().sum();
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}
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fn get_input(&mut self) -> &mut [Complex32] {
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&mut self.input_buffer
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}
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fn get_output(&self) -> &[Complex32] {
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&self.output_buffer
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output[0] = input[0] * window(0.0);
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for i in 0..(self.size - 1) {
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output[i + 1] = (self.staging_buffer[i] / (self.size - 1) as f32) + input[0];
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output[0] = output[0] + (input[i + 1] * window((i + 1) as f32 / self.size as f32));
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}
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}
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}
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@ -5,8 +5,6 @@ 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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@ -20,19 +18,17 @@ impl DFT for Radix2FFT {
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}
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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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fn execute(&mut self, window: fn(f32) -> f32) {
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fn execute(&mut self, input: &[Complex32], output: &mut [Complex32], window: fn(f32) -> f32) {
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// Reorder samples
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for (i, x) in self.output_buffer.iter_mut().enumerate() {
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for (i, x) in output.iter_mut().enumerate() {
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let k = reverse_bits(i, self.size as u32);
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*x = self.input_buffer[k] * window(k as f32 / self.size as f32);
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*x = input[k] * window(k as f32 / self.size as f32);
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}
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for step in 1..(self.size + 1) {
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@ -41,24 +37,16 @@ impl DFT for Radix2FFT {
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for s in (0..(self.length / pol_length)).map(|i| i * pol_length) {
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for i in 0..mid_point {
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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 a = output[s + i];
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let b = output[s + i + mid_point];
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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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output[i + s] = a + phasor * b;
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output[i + s + mid_point] = a - phasor * b;
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}
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}
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}
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}
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fn get_input(&mut self) -> &mut [Complex32] {
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&mut self.input_buffer
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}
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fn get_output(&self) -> &[Complex32] {
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&self.output_buffer
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}
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}
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// Utilities
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@ -1,4 +1,4 @@
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pub fn rectanguar(t: f32) -> f32 {
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pub fn rectangular(t: f32) -> f32 {
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1.
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}
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51
src/main.rs
51
src/main.rs
@ -17,15 +17,7 @@ use fft::rader;
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use nco::Nco;
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use plotters::prelude::*;
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use crate::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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radix2::Radix2FFT,
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windows,
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};
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use crate::bfsk::BFSKDem;
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// Utilities
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fn map<T>(input: T, in_min: T, in_max: T, out_min: T, out_max: T) -> T
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@ -35,14 +27,16 @@ 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 main() {}
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fn main() {
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modulate();
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}
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fn modulate() {
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let sample_rate = 44100;
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let mut frequency = 2000.0; //HZ
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let mut bandwidth = 500.0; //HZ
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let path = "a.jpg";
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let path = "s.txt";
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let file = File::open(path).unwrap();
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let mut bit_stream = file.bytes().flat_map(|byte| {
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let byte = byte.unwrap();
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@ -80,15 +74,50 @@ fn modulate() {
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let prev = Complex::new(0., 0.);
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let alpha = 1.0 - (-2.0 * PI * ((1.5 * 0.5 * bandwidth) / sample_rate as f32));
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let mut output_samples = vec![];
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while let Some(sample) = bfsk.step_modulate() {
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let amplitude = i16::MAX as f32;
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let c_sample = lo.cexp() * sample;
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let filtered = prev + (c_sample - prev) * alpha;
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output_samples.push(filtered);
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writer
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.write_sample((amplitude * c_sample.re) as i16)
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.unwrap();
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lo.step();
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}
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writer.finalize().unwrap();
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let mut of = File::create("out.txt").unwrap();
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let mut bits = vec![];
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let mut lodem = Nco::new(-2. * PI * (frequency / sample_rate as f32));
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let mut demod = BFSKDem::new(
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sample_rate / baud_rate,
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PI * (bandwidth / sample_rate as f32),
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);
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for chunk in output_samples.chunks((sample_rate / baud_rate) as usize) {
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let base_chunk: Vec<Complex32> = chunk
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.iter()
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.map(|x| {
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lodem.step();
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*x * lodem.cexp()
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})
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.collect();
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let bit = demod.demod(base_chunk.as_slice());
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bits.push(bit);
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println!("{:?}", bit)
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}
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for b in bits.chunks(8) {
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of.write_all(&[(b[0] as u8)
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| ((b[0] as u8) << 1)
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| ((b[0] as u8) << 2)
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| ((b[0] as u8) << 3)
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| ((b[0] as u8) << 4)
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| ((b[0] as u8) << 5)
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| ((b[0] as u8) << 6)
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| ((b[0] as u8) << 7)])
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.unwrap();
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}
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}
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