LMS Adaptive Filtering Algorithm - A Comprehensive Implementation Guide

The LMS adaptive filtering algorithm is a widely-used filtering technique in signal processing. This codebase provides implementations of various LMS variants including basic LMS, decorrelation LMS, filtered-x LMS, and transform-domain LMS algorithms with practical MATLAB examples and performance analysis.

LMS Adaptive Filter Algorithm Implementation for Channel Equalization

Implementation of channel equalization and inverse system estimation using LMS adaptive filter algorithm

Variable Step-Size LMS Adaptive Filtering Algorithm (MATLAB Implementation)

MATLAB implementation of a variable step-size LMS adaptive filtering algorithm for signal processing applications, featuring automatic step-size adjustment based on signal characteristics.