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.

.NET DSP library with a lot of audio processing functions

Python Adaptive Signal Processing

Control adaptive filters with neural networks.

Adaptive Filter and Active Noise Cancellation —— LMS, NLMS, RLS

Examples of machine learning and signal processing algorithms.

My collection of implementations of adaptive filters.

A collection of digital signal processing projects.

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

Adaptive filters for GNU Radio

An implementation of the most common Adaptive Signal Processing Algorithms often used for time-series prediction and noise filtering/cancellation

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

Classical adaptive linear filters in Julia

Adaptive-median image filter in pure python - use with medians-1D

Adaptive filters for 🐍

Deep Neuronal Filter (DNF): A closed-loop filter to remove noise from signals with the help of a noise reference signal.

A prediction-based data reduction method that exploits LMS adaptive filters in the Internet of Things

Various melodic noise filtering techniques viz. Adaptive Noise Cancellation, Spectral Methods and Deep Learning algorithms have been employed to filter music signals corrupted with additive Gaussian white noise. The noise reduction problem has been formulated as a filtering problem which is efficiently solved by using the LMS, NLMS and RLS metho…

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.

Various adaptive filter implementations (university project)