Wavelet-LMS algorithm-based echo cancellers

Lalith Kumar Seetharaman; Sathyanarayana S. Rao

doi:10.1117/12.452001

6 December 2002 Wavelet-LMS algorithm-based echo cancellers

Lalith Kumar Seetharaman, Sathyanarayana S. Rao

Proceedings Volume 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII; (2002) https://doi.org/10.1117/12.452001
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

This paper presents Echo Cancellers based on the Wavelet-LMS Algorithm. The performance of the Least Mean Square Algorithm in Wavelet transform domain is observed and its application in Echo cancellation is analyzed. The Widrow-Hoff Least Mean Square Algorithm is most widely used algorithm for Adaptive filters that function as Echo Cancellers. The present day communication signals are widely non-stationary in nature and some errors crop up when Least Mean Square Algorithm is used for the Echo Cancellers handling such signals. The analysis of non-stationary signals often involves a compromise between how well transitions or discontinuities can be located. The multi-scale or multi-resolution of signal analysis, which is the essence of wavelet transform, makes Wavelets popular in non-stationary signal analysis. In this paper, we present a Wavelet-LMS algorithm wherein the wavelet coefficients of a signal are modified adaptively using the Least Mean Square Algorithm and then reconstructed to give an Echo-free signal. The Echo Canceller based on this Algorithm is found to have a better convergence and a comparatively lesser MSE (Mean Square error).

Citation Download Citation

Lalith Kumar Seetharaman and Sathyanarayana S. Rao "Wavelet-LMS algorithm-based echo cancellers", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); https://doi.org/10.1117/12.452001

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KEYWORDS

Wavelets

Digital filtering

Filtering (signal processing)

Wavelet transforms

Discrete wavelet transforms

Linear filtering

Signal processing

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