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.

Water pipeline leak detection via Novelty detection

Statistical Digital Signal Processing and Modeling

Control adaptive filters with neural networks.

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

Python Adaptive Signal Processing

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.

Utilization of LMS algorithm for adaptive filtering of a stochastic audio signal.

Example algorithms for the ATFA (Real-time testing environment for adaptive filters)

Examples of machine learning and signal processing algorithms.

My Solutions to Programming Assignments of Artificial Intelligence, Machine Learning and Digital Image Processing

My collection of implementations of adaptive filters.

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

This repository contains basic neural network design concepts like hebbian learning, perceptron rule, filtered learning

Various adaptive filter implementations (university project)