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Adaptive equalization technique plays key role in modern digital communication systems. Adaptive digital filters are widely used in the area of signal processing such as echo cancellation, noise cancellation, channel equalization and beamforming. This paper presents the performance analysis of RLS and CMA algorithm in presence of noisy audio signal. The analysis shows that in CMA algorithm the convergence rate is low as compare to RLS algorithm whereas CMA algorithm requires low computing power and relatively better performance. The parameters of proposed equalizer have been optimized and simulated using Simulink. Index Terms— CMA, Equalization, Noisy audio signal, RLS algorithms

Parametric Optimization and Analysis of Adaptive Equalization Algorithms for Noisy Speech Signals