wwhenxuan/PySDKit
A Python library for signal decomposition algorithms
When analyzing time-series data like sensor readings or financial trends, you often need to break down complex signals into simpler, underlying components. This tool takes your raw signal data and separates it into individual, interpretable oscillatory modes. It's designed for anyone working with fluctuating data who needs to understand the distinct patterns or rhythms hidden within a noisy or combined signal.
192 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to decompose a complex univariate or multivariate signal into its intrinsic mode functions to better understand its underlying frequency components and trends.
Not ideal if you are a non-technical user without programming experience, as this is a Python library requiring coding knowledge.
Stars
192
Forks
26
Language
Python
License
MIT
Category
Last pushed
Sep 25, 2025
Commits (30d)
0
Dependencies
5
Reverse dependents
1
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