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A Novel Approach for the Adaptive Filtering in Echo Cancellation
Author Name : Rinku, Anu Rani
Adaptive filter constitutes one of the core technologies in adaptive filter signal processing and finds numerous application areas in science as well as an industry. Adaptive filtering techniques are used in wide ranges of applications, including the echo cancellation, adaptive equalization, adaptive noise/echo cancellation, and filter adaptive beam forming.Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The present work focuses on the conventional adaptive algorithms and modified LMS algorithm to reduce the unwanted echo, thus in the improving communication quality. Thus the number of multiplications required is very large because of which the RLS algorithm is too costly to important. Simulation results are presented to support the analysis and to compare the performance of the modified algorithm with the other conventional adaptive algorithms. They show that LMS, NLMS and RLS algorithms. An attempt has been made to examine the adaptive filtering techniques as they apply to acoustic echo cancellation, to simulate these of adaptive filtering algorithms using MATLAB and to compare the performance of these adaptive filtering algorithms as they are applied to the acoustic echo cancellation application.