#!/usr/bin/env python3 """verify_lut.py — непараметрическая LUT-кривая, форма B.10. rmse.""" import numpy as np from scipy.interpolate import PchipInterpolator FS = 44100.0 DEPTH = 0.8639736175537109 QS = [0.1, 0.2, 0.3, 0.5, 0.7, 1.0, 1.5, 2.0, 3.0, 5.0, 10.0] DUAL = np.array([(10.220, 15.224), (10.219, 13.963), (10.219, 12.947), (10.219, 11.725), (10.218, 11.119), (10.216, 10.689), (10.210, 10.412), (10.203, 10.305), (10.182, 10.225), (10.113, 10.183), (9.822, 10.165)]) FCS = [800.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1200.0] T1KQ = np.array([7.868, 8.536, 8.726, 8.788, 8.729, 8.575, 8.115]) T1K = np.array([14.548, 15.332, 15.553, 15.626, 15.557, 15.378, 14.840]) L_DUAL = 10 ** (-7.142 / 20) L_T1KQ = 10 ** (-18.063 / 20) L_T1K = 1.0 TILT = {500: 1.414, 1000: 1.454, 2000: 1.795} Q, G = 0.900, 4.132 LUTX = np.array([-0.750, -0.500, -0.250, 0.000, 0.250, 0.500, 0.750, 1.000]) LUTY = np.array([0.4453, 0.4551, 0.4784, 0.5041, 0.5331, 0.5715, 0.6574, 0.6636]) lut = PchipInterpolator(LUTX, LUTY) def res_at(ft, fc, Q, g): w0 = fc * 2 * np.pi / FS c, s = np.cos(w0), np.sin(w0) p = (s * 0.5) / Q a, a2 = p * g, p / g A = [a + 1, -2 * c, 1 - a] B = [a2 + 1, -2 * c, 1 - a2] w = 2 * np.pi * ft / FS z = np.exp(-1j * w) return np.abs(2.0 * (B[0] + B[1] * z + B[2] * z * z) / (A[0] + A[1] * z + A[2] * z * z)) def red(x, tilt): C = DEPTH * tilt * lut(x) return -20 * np.log10(max(1 - C, 1e-9)) def run(): preds = [] meas = [] print('--- dual_b1q ---') for i, q in enumerate(QS): for f, m in ((500, DUAL[i, 0]), (2000, DUAL[i, 1])): r = res_at(f, 500, q, G) p = red(np.log10(L_DUAL / r), TILT[f]) preds.append(p); meas.append(m) print(f'q={q:5.1f} f={int(f)} {m:6.3f}/{p:6.3f} ({p - m:+.3f})') print('--- t1kq -18dB ---') for i, fc in enumerate(FCS): r = res_at(1000, fc, 0.9999978, G) p = red(np.log10(L_T1KQ / r), TILT[1000]) preds.append(p); meas.append(T1KQ[i]) print(f'fc={fc:5.0f} {T1KQ[i]:6.3f}/{p:6.3f} ({p - T1KQ[i]:+.3f})') print('--- t1k 0dB ---') for i, fc in enumerate(FCS): r = res_at(1000, fc, 0.9999978, G) p = red(np.log10(L_T1K / r), TILT[1000]) preds.append(p); meas.append(T1K[i]) print(f'fc={fc:5.0f} {T1K[i]:6.3f}/{p:6.3f} ({p - T1K[i]:+.3f})') preds = np.array(preds); meas = np.array(meas) print(f'\nTOTAL rmse={np.sqrt(np.mean((preds - meas) ** 2)):.4f} dB') if __name__ == '__main__': run()