from . import tau import numpy as np import sympy as sym def zcgen_py(n, d): zcs = np.zeros(d + 1) zcs[0] = 1 for _ in range(n): for i in range(d, 0, -1): zcs[i] -= zcs[i - 1] for _ in range(d - n): for i in range(d, 0, -1): zcs[i] += zcs[i - 1] return zcs def zcgen_sym(n, d): z = sym.symbols('z') expr = sym.expand((1 - z**-1)**n*(1 + z**-1)**(d - n)) coeffs = expr.equals(1) and [1] or expr.as_poly().all_coeffs() return coeffs[::-1] def s2z_two(b,a,fc,srate,gain=1): """ converts s-plane coefficients to z-plane for digital usage. hard-coded for 3 coefficients. """ if (len(b) < 3): b = (b[0], b[1], 0) if (len(a) < 3): a = (a[0], a[1], 0) w0 = tau*fc/srate cw = np.cos(w0) sw = np.sin(w0) zb = np.array(( b[2]*(1 - cw) + b[0]*(1 + cw) + b[1]*sw, 2*(b[2]*(1 - cw) - b[0]*(1 + cw)), b[2]*(1 - cw) + b[0]*(1 + cw) - b[1]*sw, )) za = np.array(( a[2]*(1 - cw) + a[0]*(1 + cw) + a[1]*sw, 2*(a[2]*(1 - cw) - a[0]*(1 + cw)), a[2]*(1 - cw) + a[0]*(1 + cw) - a[1]*sw, )) return zb*gain, za def s2z1(w0, s, d): """ s: array of s-plane coefficients (num OR den, not both) d: degree (array length - 1) returns output array of size d + 1 """ y = np.zeros(d + 1) sw = np.sin(w0) cw = np.cos(w0) for n in range(d + 1): zcs = zcgen(d - n, d) trig = sw**n/(cw + 1)**(n - 1) for i in range(d + 1): y[i] += trig*zcs[i]*s[n] return y def s2z_any(b, a, fc, srate, gain=1, d=-1): """ converts s-plane coefficients to z-plane for digital usage. supports any number of coefficients; b or a will be padded accordingly. additional padding can be specified with d. """ cs = max(len(b), len(a), d + 1) sb = np.zeros(cs) sa = np.zeros(cs) sb[:len(b)] = b sa[:len(a)] = a w0 = tau*fc/srate zb = s2z1(w0, sb, cs - 1) za = s2z1(w0, sa, cs - 1) return zb*gain, za # set our preference. zcgen_py is 1000+ times faster than zcgen_sym zcgen = zcgen_py # s2z_any is only ~2.4 times slower than s2z_two and allows for filters of any degree s2z = s2z_any