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

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Asaduj Jahan Jimi¹  Mohammad Manzurul Islam²  M. F Mridha³ 

[1]CSE Department, Stamford University Bangladesh

[2]Faculty of Engineering and IT, University of Technology Sydney

[3]CSE, University of Asia Pacific

关键词: Adaptive Filtering;    adaptive algorithm;    Least Mean Square (LMS);    Normalized Least Mean Squares(NLMS);    Recursive Least Squares (RLS) and Fast Transversal Filter (FTF) algorithm.;   

来源: Research & Reviews

【 摘 要 】

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.

【 授权许可】

Unknown