MIMETIC WAVELET-PACKET TRANSFORM BASED ADAPTIVE ALGORITHM FOR SPARSE RESPONSE IDENTIFICATION

被引：0
|
作者：
Noskoski, Odair A. [1 ]
Bermudez, Jose C. M. [2 ]
机构：
[1] Fed Inst Technol Educ Sul Rio Grandense, Gradense, RS, Brazil
[2] Univ Fed Santa Catarina, Dept Elect Engn, BR-88040900 Florianopolis, SC, Brazil
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词：
adaptive filters; sparse response identification; echo cancellation;
D O I：
10.1109/ICASSP.2010.5495840
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper proposes a new wavelet-packet transform based adaptive algorithm for sparse response identification. The distinctive features of the new algorithm are the on-line adaptability of the discrete wavelet packet transform (DWPT) and an efficient weight deactivation/activation schedule. The new algorithm, called mimetic wavelet-packet based (MWPB) algorithm, generalizes the WPB algorithm presented in [1]. The MWPB algorithm presents better estimation and tracking performances than existing wavelet-based sparse response identification algorithms. Monte Carlo (MC) simulation results compare the performances of the four most recently proposed algorithms in this class.
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页码：3818 / 3821
页数：4
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