Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. Padasip supports both supervised and unsupervised filtering modes and is built to be modular and extensible, making it easy to integrate into larger machine learning pipelines or control systems.
Features
- Implementation of standard adaptive filters (LMS, RLS, etc.)
- Online learning and real-time adaptation
- Support for time series prediction and signal denoising
- Lightweight and dependency-minimal
- Easy-to-use API for rapid prototyping
- Modular design for custom filter development
- Visualization tools for debugging and analysis
- Compatible with NumPy and SciPy
Project Samples
Categories
Stream ProcessingLicense
MIT LicenseFollow Padasip
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