Simulation and Comparative Analysis of LMS and RLS Algorithms
Implementation of LMS (Least Mean Squares) and RLS (Recursive Least Squares) algorithms using MATLAB simulation software, including comparative analysis of convergence speeds, post-convergence bit error rate evaluation, and examination of step size impact on LMS algorithm's mean square error performance curves and forgetting factor influence on RLS algorithm performance characteristics. Code implementation covers adaptive filter structures, weight update mechanisms, and real-time performance monitoring.