Timeseries signal processing implementations in ezmsg
Project description
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.
- Fork and clone the repository
uv syncto create a virtual environment and install dependenciesuv run pre-commit installto set up linting and formatting hooksuv run pytest teststo run the test suite- Submit a PR against the
devbranch
Release history Release notifications | RSS feed
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