A Comparative Analysis of Mean Square Error Adaptive Filter Algorithms for Generation of Modified Scaling and Wavelet Function
نویسنده
چکیده
In this paper, a technique to determine the filter bank coefficients of Wavelets db3 and coif2 using mean square error adaptive filter RLS algorithm has been presented. Filter bank coefficients of the wavelet are treated as weight vector of adaptive filter and are changed iteratively to reach the desired value after few iteration. It is found that of the three adaptive algorithms viz. Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) algorithm, RLS performs better due to its insensitivity to step size, faster convergence and better accuracy. Modified Scaling and wavelet functions are generated from the filter bank coefficients obtained using RLS algorithm.
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