general-signal 0.1.0

General-purpose signal processing library: convolution-based signal dueling and autoconvolution

general_signal

General-purpose signal processing library providing convolution-based signal analysis tools.

Features

• signal_dueling() — Pairwise signal comparison for disruption removal. Compares two multi-channel signals and identifies sections where one dominates the other, enabling clean separation of overlapping signal sources.
• signal_autoconvolution() — Self-convolution energy computation for event detection. Computes a hybrid convolution over a 1D signal to identify effective (non-noise) signal sections.

Requirements

• Python >= 3.7
• NumPy >= 1.20

Installation

pip install general_signal

Quick Start

import numpy as np
from general_signal import signal_autoconvolution

# Generate a test signal
x = np.random.randn(10000)

# Compute autoconvolution
result = signal_autoconvolution(x)
print(f"Number of convolution windows: {len(result)}")

License

MIT