Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

Labs of DSP2

Statistical Digital Signal Processing and Modeling

The data-management aspect to the ideal algorithm

Adaptive filters for 🐍

go-adflib is designed to simplify adaptive signal processing tasks with golang.

Adaptive filters for GNU Radio

Adaptive Automatic Equalizer

Control adaptive filters with neural networks.

Classical adaptive linear filters in Julia

A dynamically adaptable neural network-based replay spoofing attack detection system.

Recreating a simple algorithm to cancelling noise in audio based on noise sample

This repository represents the implementation of a Normalized Least Mean Squares (NLMS) and a Least Mean Squares (LMS) adaptive filters

Python Adaptive Signal Processing

This repository includes LMS-Adaptive algorithm implementation

DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.

An adaptive comb filtering algorithm for the enhancement of harmonic signals in the presence of additive white noise. The algorithm improves the signal-to-noise ratio by estimating the fundamental frequency and enhancing the harmonic component in the input. It is implemented in Python and can be used for audio processing applications.

Electronics laboratories: I) Active filters and oscillators; II) Digital-analog converter DAC; III) Adaptive filters.