ezmsg-sigproc

Signal processing primitives for the ezmsg message-passing framework.

Features

• Filtering - Chebyshev, comb filters, and more

• Spectral analysis - Spectrogram, spectrum, and wavelet transforms

• Resampling - Downsample, decimate, and resample operations

• Windowing - Sliding windows and buffering utilities

• Math operations - Arithmetic, log, abs, difference, and more

• Signal generation - Synthetic signal generators

• More! Brows the API documentation for more details.

All modules use AxisArray as the primary data structure for passing signals between components. The default data backend is NumPy, but other backends are supported via the Array API such as CuPy and MLX.

Installation

Install from PyPI:

pip install ezmsg-sigproc

Or install from GitHub for the latest development version:

pip install git+https://github.com/ezmsg-org/ezmsg-sigproc.git@dev

Documentation

Full documentation is available at ezmsg.org.

Development

We use uv for development.

1. Fork and clone the repository

2. uv sync to create a virtual environment and install dependencies

3. uv run pre-commit install to set up linting and formatting hooks

4. uv run pytest tests to run the test suite

5. Submit a PR against the dev branch

Contents:

• ezmsg-sigproc
  • Architecture & Usage Patterns
  • About ezmsg-sigproc Signal Processors
  • Array API Support
• Leveraging ezmsg For Signal Processing
  • Choosing your signal processing class
  • Creating the Downsample signal processor
  • DownsampleTransformer Class
  • Processing the Data
  • Final DownsampleTransformer Class
  • Using the DownsampleTransformer
  • Creating the Downsample ezmsg Unit
  • See Also
• HybridBuffer
  • Basic Reading and Writing Behaviour
  • Overflow Behaviour
  • Advanced Pointer Manipulation
  • HybridAxisBuffer
  • HybridAxisArrayBuffer
• API Reference
  • ezmsg.sigproc

Indices and tables

• Index

• Module Index