Engineering Commons^™

The Application Of Wavelet-Based Least Mean Square Algorithm In Adaptive Beamforming, Shun-Hsyung Chang, Chin-Chang Chang

Journal of Marine Science and Technology

Wavelet transform is one of methods that utilizes the dilation and contraction of prototype wavelet basis function to form a set of fully flexible windows in the time-frequency plane. It exhibits a good effect in both the analysis of high and low frequency components of signal. By applying such a transform method to traditional least-mean-square algorithm (LMS), we can obtain an orthogonally transformed signal from a time-domain input signal after imposing wavelet transform on it. In addition, we can improve the convergence speed of learning curve by passing the transformed signal through weight which is adapted with LMS. The improved …