Fundamental Structure of Adaptive Filters and Least Mean Square Error Algorithm (LMS Algorithm)

This paper investigates the fundamental structure of adaptive filters and the Least Mean Square (LMS) algorithm, implements MATLAB simulations to analyze algorithmic performance, deploys the algorithm on SY-5402EVM evaluation board for DSP implementation, and conducts comprehensive result analysis with code-level implementation insights.

Adaptive Equalizer Based on Minimum Mean Square Error Algorithm

A MATLAB implementation of an adaptive equalizer using the Minimum Mean Square Error (MMSE) algorithm, designed for direct application in digital communication systems with code-level parameter adjustment capabilities

Weight Convergence Analysis of Fixed-Step and Variable-Step Least Mean Square Error Algorithms

This program simulates the weight convergence of two fixed-step algorithms and one variable-step least mean square error (LMS) algorithm. The simulation results demonstrate that the variable-step algorithm achieves superior performance, with implementation details highlighting step-size adaptation mechanisms.