Review on Implementation of Fir Adaptive Filter Using Distributed Arithmatic and Block Lms Algorithm
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 6
Abstract
Adaptive filters play very important role in signal processing application. There are several algorithms for implementation of filters such as Least mean square (LMS), Recursive least square (RLS), etc. The LMS algorithm is the most efficient algorithm for implementation of FIR adaptive filters. RLS algorithm gives faster convergence as compared to LMS but the computational complexity is high in case of RLS. An effective distributed arithmetic can be used to implement the block least mean square algorithm (BLMS). The DA based structure uses a LUT sharing scheme to calculate the filter output and weight increment terms of BLMS algorithm. The structure can save a number of adders. This paper presents a literature review on the different algorithms used for implementation of FIR adaptive filters and implementation of filters using distributed arithmetic and block LMS algorithm
Authors and Affiliations
Miss. Rima P. Deshmukh, Prof. S. A. Koti, Prof. V. B. Baru
Keywords
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