hopefully fixed the butterworth cascaded Q values for the AA filter now
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1 changed files with 42 additions and 3 deletions
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@ -39,6 +39,42 @@ impl BiquadCoefs {
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BiquadCoefs { a1, a2, b0, b1, b2 }
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}
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/// Returns the Q for cascading a butterworth filter:
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fn calc_cascaded_butter_q(order: usize, casc_idx: usize) -> f32 {
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let order = order as f32;
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let casc_idx = casc_idx as f32;
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let b =
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-2.0 * ((2.0 * casc_idx + order - 1.0) * PI / (2.0 * order))
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.cos();
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1.0 / b
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}
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/// Returns settings for a lowpass filter with a specific q
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#[inline]
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pub fn lowpass(sample_rate: f32, q: f32, cutoff: f32) -> BiquadCoefs {
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let f = (cutoff * PI / sample_rate).tan();
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let a0r = 1.0 / (1.0 + f / q + f * f);
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/*
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float norm = 1.f / (1.f + K / Q + K * K);
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this->b[0] = K * K * norm;
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this->b[1] = 2.f * this->b[0];
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this->b[2] = this->b[0];
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this->a[1] = 2.f * (K * K - 1.f) * norm;
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this->a[2] = (1.f - K / Q + K * K) * norm;
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*/
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let b0 = f * f * a0r;
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let b1 = 2.0 * b0;
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let b2 = b0;
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let a1 = 2.0 * (f * f - 1.0) * a0r;
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let a2 = (1.0 - f / q + f * f) * a0r;
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BiquadCoefs { a1, a2, b0, b1, b2 }
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}
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/// Returns settings for a constant-gain bandpass resonator.
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/// The center frequency is given in Hz.
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/// Bandwidth is the difference in Hz between -3 dB points of the filter response.
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@ -195,9 +231,12 @@ impl<const N: usize> Oversampling<N> {
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let cutoff = 0.98 * (0.5 * srate);
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let ovr_srate = (N as f32) * srate;
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let filters_len = self.filters.len();
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for filt in &mut self.filters {
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filt.set_coefs(BiquadCoefs::butter_lowpass(ovr_srate, cutoff));
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for (i, filt) in self.filters.iter_mut().enumerate() {
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let q = BiquadCoefs::calc_cascaded_butter_q(4, filters_len - i);
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filt.set_coefs(BiquadCoefs::lowpass(ovr_srate, q, cutoff));
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}
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}
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