Merge branch 'master' into feature/mqtt-convert
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commit
e8711d8f4f
@ -4,10 +4,9 @@ use serde::{Deserialize, Serialize};
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/// Generic vector for integer IIR filter.
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/// Generic vector for integer IIR filter.
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/// This struct is used to hold the x/y input/output data vector or the b/a coefficient
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/// This struct is used to hold the x/y input/output data vector or the b/a coefficient
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/// vector.
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/// vector.
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#[derive(Copy, Clone, Default, Deserialize, Serialize)]
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pub type Vec5 = [i32; 5];
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pub struct Vec5(pub [i32; 5]);
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impl Vec5 {
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trait Coeff {
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/// Lowpass biquad filter using cutoff and sampling frequencies. Taken from:
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/// Lowpass biquad filter using cutoff and sampling frequencies. Taken from:
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/// https://webaudio.github.io/Audio-EQ-Cookbook/audio-eq-cookbook.html
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/// https://webaudio.github.io/Audio-EQ-Cookbook/audio-eq-cookbook.html
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///
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///
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@ -19,7 +18,11 @@ impl Vec5 {
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///
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///
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/// # Returns
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/// # Returns
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/// 2nd-order IIR filter coefficients in the form [b0,b1,b2,a1,a2]. a0 is set to -1.
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/// 2nd-order IIR filter coefficients in the form [b0,b1,b2,a1,a2]. a0 is set to -1.
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pub fn lowpass(f: f64, q: f64, k: f64) -> Self {
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fn lowpass(f: f64, q: f64, k: f64) -> Self;
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}
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impl Coeff for Vec5 {
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fn lowpass(f: f64, q: f64, k: f64) -> Self {
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// 3rd order Taylor approximation of sin and cos.
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// 3rd order Taylor approximation of sin and cos.
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let f = f * 2. * PI;
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let f = f * 2. * PI;
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let f2 = f * f * 0.5;
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let f2 = f * f * 0.5;
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@ -32,7 +35,7 @@ impl Vec5 {
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let a1 = (2. * fcos / a0 + 0.5) as _;
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let a1 = (2. * fcos / a0 + 0.5) as _;
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let a2 = ((alpha - 1.) / a0 + 0.5) as _;
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let a2 = ((alpha - 1.) / a0 + 0.5) as _;
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Self([b0, 2 * b0, b0, a1, a2])
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[b0, 2 * b0, b0, a1, a2]
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}
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}
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}
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}
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@ -72,32 +75,32 @@ impl IIR {
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/// * `xy` - Current filter state.
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/// * `xy` - Current filter state.
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/// * `x0` - New input.
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/// * `x0` - New input.
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pub fn update(&self, xy: &mut Vec5, x0: i32) -> i32 {
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pub fn update(&self, xy: &mut Vec5, x0: i32) -> i32 {
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let n = self.ba.0.len();
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let n = self.ba.len();
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debug_assert!(xy.0.len() == n);
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debug_assert!(xy.len() == n);
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// `xy` contains x0 x1 y0 y1 y2
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// `xy` contains x0 x1 y0 y1 y2
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// Increment time x1 x2 y1 y2 y3
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// Increment time x1 x2 y1 y2 y3
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// Shift x1 x1 x2 y1 y2
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// Shift x1 x1 x2 y1 y2
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// This unrolls better than xy.rotate_right(1)
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// This unrolls better than xy.rotate_right(1)
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xy.0.copy_within(0..n - 1, 1);
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xy.copy_within(0..n - 1, 1);
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// Store x0 x0 x1 x2 y1 y2
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// Store x0 x0 x1 x2 y1 y2
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xy.0[0] = x0;
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xy[0] = x0;
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// Compute y0 by multiply-accumulate
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// Compute y0 by multiply-accumulate
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let y0 = macc(0, &xy.0, &self.ba.0, IIR::SHIFT);
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let y0 = macc(0, xy, &self.ba, IIR::SHIFT);
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// Limit y0
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// Limit y0
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// let y0 = y0.max(self.y_min).min(self.y_max);
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// let y0 = y0.max(self.y_min).min(self.y_max);
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// Store y0 x0 x1 y0 y1 y2
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// Store y0 x0 x1 y0 y1 y2
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xy.0[n / 2] = y0;
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xy[n / 2] = y0;
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y0
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y0
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}
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}
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}
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}
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#[cfg(test)]
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#[cfg(test)]
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mod test {
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mod test {
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use super::Vec5;
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use super::{Coeff, Vec5};
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#[test]
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#[test]
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fn lowpass_gen() {
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fn lowpass_gen() {
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let ba = Vec5::lowpass(1e-5, 1. / 2f64.sqrt(), 2.);
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let ba = Vec5::lowpass(1e-5, 1. / 2f64.sqrt(), 2.);
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println!("{:?}", ba.0);
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println!("{:?}", ba);
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}
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}
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}
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}
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