Work

SigFeatX: Comprehensive signal feature extraction with decomposition, batch processing, and sklearn integration

Year: 2026

Type: software

Abstract: First release published to PyPI — pip install SigFeatX. Highlights Correctness fixes to RQA (DET), CEEMDAN (adaptive noise), and bubble entropy, each validated against reference behavior. Performance: FFT-vectorized MODWT (~45–70× faster) and RQA; opt-in parallel CEEMDAN. Cross-validated against the reference PyEMD implementation. Full CI (tests + ruff + mypy + docs), Sphinx docs with a feature glossary, property-based tests, and a runnable examples/playground.ipynb. Citable via CITATION.cff. See CHANGELOG.md for the full 0.4.0 entry.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21442641

Author: Mohanta, Diptiman

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7169727061

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