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A New Approach of Performance Analysis of Adaptive Filter Algorithm in Noise Elimination

Asaduj Jahan Jimi , Mohammad Manzurul Islam , M. F Mridha

Adaptive Filtering is an extreme researched topic in the present era of digital communications. When the received signal is rapidly disturbed by noise where both the received signal and noise change continuously, then arises the need for adaptive filtering. The core of the adaptive filter is the adaptive algorithm. This paper deals with elimination of noise on speech signal and data signals using four algorithms-Least Mean Square (LMS) algorithm, Normalized Least Mean Squares(NLMS) algorithm, Recursive Least Squares (RLS) and Fast Transversal Filter (FTF) algorithm with implementation in MATLAB. Comparisons of the algorithms are based on forgetting factor and tap weights of filter. The algorithms chosen for implementation provide efficient performances with less computational complexity.