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-rw-r--r--fw/hid-dials/tools/butter_filter_gen.py93
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diff --git a/fw/hid-dials/tools/butter_filter_gen.py b/fw/hid-dials/tools/butter_filter_gen.py
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+++ b/fw/hid-dials/tools/butter_filter_gen.py
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+#!/usr/bin/env python3
+
+import math
+import sys
+import contextlib
+
+import scipy.signal as sig
+import numpy as np
+
+
+@contextlib.contextmanager
+def wrap(left='{', right='}', file=None, end=''):
+ print(left, file=file, end=end)
+ yield
+ print(right, file=file, end=end)
+
+@contextlib.contextmanager
+def print_include_guards(macro_name):
+ print(f'#ifndef {macro_name}')
+ print(f'#define {macro_name}')
+ print()
+ yield
+ print()
+ print(f'#endif /* {macro_name} */')
+
+macro_float = lambda f: f'{f}'.replace('.', 'F').replace('-', 'N').replace('+', 'P')
+
+ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(n//10%10!=1)*(n%10<4)*n%10::4])
+
+SI_TABLE = {-18: 'a', -15: 'f', -12: 'p', -9: 'n', -6: 'ยต', -3: 'm', 0: '', 3: 'k', 6: 'M', 9: 'G', 12: 'T', 15: 'P', 18: 'E'}
+def siprefix(x, space=' ', unit=''):
+ l = math.log10(x)//3*3
+ if l in SI_TABLE:
+ return f'{x/10**l}{space}{SI_TABLE[l]}{unit}'
+ return f'{x}{space}{unit}'
+
+if __name__ == '__main__':
+ import argparse
+ parser = argparse.ArgumentParser()
+ parser.add_argument('-m', '--macro-name', default='butter_filter', help='Prefix for output macro names')
+ parser.add_argument('fc', type=float, help='Corner frequency [Hz]')
+ parser.add_argument('fs', type=float, help='Sampling rate [Hz]')
+ parser.add_argument('n', type=int, nargs='?', default=6, help='Filter order')
+ args = parser.parse_args()
+
+ sos = sig.butter(args.n, args.fc, fs=args.fs, output='sos')
+
+ print('/* THIS IS A GENERATED FILE. DO NOT EDIT! */')
+ print()
+ with print_include_guards(f'__BUTTER_FILTER_GENERATED_{args.n}_{macro_float(args.fc)}_{macro_float(args.fs)}__'):
+
+ print(f'/* {ordinal(args.n)} order Butterworth IIR filter coefficients')
+ print(f' *')
+ print(f' * corner frequency f_c = {siprefix(args.fc)}Hz')
+ print(f' * sampling rate f_s = {siprefix(args.fs)}Hz')
+ print(f' */')
+ print()
+ print(f'#define {args.macro_name.upper()}_ORDER {args.n}')
+ print(f'#define {args.macro_name.upper()}_CLEN {(args.n+1)//2}')
+
+ # scipy.signal.butter by default returns extremely small bs for the first biquad and large ones for subsequent
+ # sections. Balance magnitudes to reduce possible rounding errors.
+ first_biquad_bs = sos[0][:3]
+ approx_mag = round(math.log10(np.mean(first_biquad_bs)))
+ mags = [approx_mag // len(sos)] * len(sos)
+ mags[0] += approx_mag - sum(mags)
+ sos[0][:3] /= 10**approx_mag
+ sos = np.array([ sec * np.array([10**mag, 10**mag, 10**mag, 1, 1, 1]) for mag, sec in zip(mags, sos) ])
+
+ ones = np.ones([100000])
+ _, steady_state = sig.sosfilt(sos, ones, zi=np.zeros([(args.n+1)//2, 2]))
+
+ print(f'#define {args.macro_name.upper()}_COEFF ', end='')
+ for sec in sos:
+ bs, ases = sec[:3], sec[4:6]
+
+ with wrap():
+ print('.b=', end='')
+ with wrap():
+ print(', '.join(f'{v}' for v in bs), end='')
+ print(', .a=', end='')
+ with wrap():
+ print(', '.join(f'{v}' for v in ases), end='')
+ print(', ', end='')
+ print()
+
+ print(f'#define {args.macro_name.upper()}_STEADY_STATE ', end='')
+ for sec in steady_state:
+ with wrap():
+ print(', '.join(f'{v}' for v in sec), end='')
+ print(', ', end='')
+ print()
+