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

Project Activity

See All Activity >

License

MIT License

Follow Padasip

Padasip Web Site

Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud Icon
Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Padasip!

Additional Project Details

Programming Language

Python

Related Categories

Python Stream Processing Tool

Registered

2025-04-08