A lightweight library for Progressive Moving Average Transform (PMAT) on signals.
Project description
pmatlib
pmatlib is a lightweight Python library that implements the Progressive Moving Average Transform (PMAT).
PMAT is a signal transformation technique that converts 1D discrete signals into 2D representations by progressively applying Moving Averages (MA) with varying window sizes.
This transform is particularly useful for feature extraction, fault diagnosis, and machine learning applications (e.g., CNNs on time–series data).
Features
- Implementation of the Progressive Moving Average Transform (PMAT).
- Supports three variants:
- LPMAT (Left PMAT)
- RPMAT (Right PMAT)
- CPMAT (Centered PMAT)
- Based on NumPy for efficiency.
- Easy integration into ML pipelines.
Installation
pip install pmatlib
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