scitex-dsp 0.1.6

Digital signal processing (PAC, Hilbert, Wavelet, filters, demo signals, …) — standalone module from the SciTeX ecosystem

scitex-dsp

Digital signal processing utilities (PAC, Hilbert, Wavelet, filters, resampling, demo signals, …) extracted from the SciTeX ecosystem as a standalone package.

Install

pip install scitex-dsp

API

import scitex_dsp as dsp

xx, tt, fs = dsp.demo_sig(sig_type="chirp", fs=1024)
psd, ff = dsp.psd(xx, fs)
xf = dsp.filt.bandpass(xx, fs, bands=[[8, 12]])
hp = dsp.hilbert(xx)
pac, freqs_pha, freqs_amp = dsp.pac(xx, fs, ...)

Status

Standalone fork of scitex.dsp. The umbrella package's scitex.dsp import path is preserved via a sys.modules-alias bridge.

Decoupling notes:

• scitex.{decorators,gen,nn} → scitex_* direct imports.
• scitex.io.load_configs deferred via try/except with CONFIG = {} fallback (only used in _demo_sig.py module-init).
• scitex.dsp.utils and scitex.dsp._demo_sig are intra-package — rewritten as scitex_dsp.utils / scitex_dsp._demo_sig.
• Example if __name__ == "__main__" blocks still reference the umbrella (scitex.session, scitex.io, scitex.plt) — they only run when the umbrella is installed.

License

AGPL-3.0-only.