Optimum filter banks for signal decomposition and its application in adaptive echo cancellation
- 1 July 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 44 (7) , 1669-1680
- https://doi.org/10.1109/78.510615
Abstract
The application of multirate filter banks in echo cancellation is investigated. The multiresolution algorithm is used to decompose the received sampling sequence into a number of components, and then, an adaptive algorithm is applied to cancel the echo in the received signal. In this paper, the performance of this method is discussed, from which optimal conditions for echo cancellation are established for the design of wavelet packet multiresolution decomposition. An efficient algorithm for designing such a set of optimal discrete filter banks is developed. The cases of optimal in-band and adjacent-band adaptive filtering are examined. Experimental results showed that the use of optimally designed multiresolution filter banks coupled with in-band or adjacent-band adaptive filtering is much more effective than the employment of commonly used wavelet filter banks. Furthermore, the use of the adjacent-band adaptive filtering algorithm has superior performance compared with that of the in-band filteringKeywords
This publication has 18 references indexed in Scilit:
- A new structure for sub-band acoustic echo cancelerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- On the performance analysis of the subband adaptive digital filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Design of an optimum wavelet for cancellation of long echoes in telephonyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Wavelet transform domain LMS algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Wavelet-based adaptive filteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Subband adaptive filtering: The mutual wavelet packets approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- FSF (frequency sampling filter) bank for adaptive system identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- The wavelet transform, time-frequency localization and signal analysisIEEE Transactions on Information Theory, 1990
- Echo cancellation and applicationsIEEE Communications Magazine, 1990
- Time Delay EstimationPublished by Elsevier ,1987