Wavelet-Based MPNLMS Adaptive Algorithm for Network Echo Cancellation. (19th March 2007)

• Record Type: Journal Article
• Authors: Deng, Hongyang; Doroslovački, Miloš
• Other Names: Naylor Patrick A. Academic Editor.
• Is Part Of: EURASIP journal on audio, speech, and music processing. Volume 2007(2007)
• Publication Date: 2007-03-19
• Subjects: Sound -- Recording and reproducing -- Digital techniques -- Periodicals; Computer sound processing -- Periodicals; Computer sound processing; Sound -- Recording and reproducing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 620.2
• DOI: 10.1155/2007/96101
• Languages: English
• ISSNs: 1687-4714

Abstract

Abstract : Theμ -law proportionate normalized least mean square (MPNLMS) algorithm has been proposed recently to solve the slow convergence problem of the proportionate normalized least mean square (PNLMS) algorithm after its initial fast converging period. But for the color input, it may become slow in the case of the big eigenvalue spread of the input signal's autocorrelation matrix. In this paper, we use the wavelet transform to whiten the input signal. Due to the good time-frequency localization property of the wavelet transform, a sparse impulse response in the time domain is also sparse in the wavelet domain. By applying the MPNLMS technique in the wavelet domain, fast convergence for the color input is observed. Furthermore, we show that some nonsparse impulse responses may become sparse in the wavelet domain. This motivates the usage of the wavelet-based MPNLMS algorithm. Advantages of this approach are documented.