Matiq
25cf786c54
- Инфраструктура: RTTI-дампы (rtti_dsp/full.json), декомпиляции DSP-классов (decomp_*.txt), Ghidra-скрипты (Dump*.java, ImportRtti*.java, Diag.java), depthcurve/curve_fits LUT. - Поведенческая модель sim_v5.py + sim.py (RMSE ~0.3dB), утилиты (measure, tt_sweep, patchparam, sweep, harness_*, verify_sim). - summary.md + roadmap.md (контракт из manual M1-M12, топология пайплайна из OCR, фазы A-C). - pipeline_ocr.txt: OCR диаграммы Appendix A (mid/side ручка, trim/mix/bypass порядок).
73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
#!/usr/bin/env python3
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import struct, os, sys, math
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SR = 44100
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def read24(path):
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d = open(path, 'rb').read()
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i = 12
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ch = bps = None
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data_off = data_sz = None
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while i + 8 <= len(d):
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cid = d[i:i+4]; sz = struct.unpack('<I', d[i+4:i+8])[0]
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if cid == b'fmt ':
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ch = struct.unpack('<H', d[i+8:i+10])[0]
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if cid == b'data':
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data_off = i + 8; data_sz = sz
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i += 8 + sz + (sz & 1)
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raw = d[data_off:data_off+data_sz]
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L = []
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for k in range(data_sz // (ch*3)):
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v = int.from_bytes(raw[k*ch*3:k*ch*3+3], 'little', signed=True)
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L.append(v / 8388608.0)
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return L, ch
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def spectral_profile(samples):
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# Welch-ish: split into 128-sample frames, hann window, count per-bin RMS
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n = len(samples)
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win = [0.5 - 0.5*math.cos(2*math.pi*k/(128)) for k in range(128)]
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bins = [0.0]*65
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frames = 0
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for s in range(0, n-128, 64):
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fr = [samples[s+k]*win[k] for k in range(128)]
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re = [0.0]*65; im = [0.0]*65
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for k in range(128):
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f_c = fr[k]
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for b in range(65):
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ang = 2*math.pi*b*k/128
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re[b] += f_c*math.cos(ang)
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im[b] += f_c*math.sin(ang)
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for b in range(65):
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bins[b] += re[b]*re[b] + im[b]*im[b]
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frames += 1
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return [math.sqrt(b/frames) for b in bins]
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def profile_db(prof):
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return [20*math.log10(p+1e-12) for p in prof]
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def main(inp, outs):
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Li, ch = read24(inp)
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pi = spectral_profile(Li)
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pids = {}
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for _, path in outs:
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L, _ = read24(path)
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pids[path] = spectral_profile(L)
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# clamp frames for profile in case lengths differ
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return pi, pids
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if __name__ == '__main__':
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inp = sys.argv[1]
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outs = [(os.path.basename(p).split('_')[1] if False else p, p) for p in sys.argv[2:]]
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pi, pids = main(inp, outs)
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freqs = [SR*k/256 for k in range(65)]
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print(f"{'freq':>7} {'IN':>8}" + ''.join(f" {os.path.basename(p):>18}" for _,p in outs))
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print("LOG2-ish band graph")
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# print compact dB difference
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dbin = profile_db(pi)
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for b in range(2, 64, 2):
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row = f"{freqs[b]:7.0f} {dbin[b]:8.1f}"
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for _, p in outs:
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pp = pids[p]
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d = 20*math.log10(pp[b]+1e-12) - dbin[b]
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row += f" {d:18.2f}"
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print(row) |