Region-Based Wavelet-Packet Adaptive Algorithm for Identification of Sparse Impulse Responses

Autor:	S. J. M. de Almeida, Jose C. M. Bermudez, Odair A. Noskoski
Rok vydání:	2013
Předmět:	Discrete wavelet transform Mathematical optimization Wavelet Finite impulse response Second-generation wavelet transform Stationary wavelet transform Signal Processing Wavelet transform Cascade algorithm Electrical and Electronic Engineering Algorithm Wavelet packet decomposition Mathematics
Zdroj:	IEEE Transactions on Signal Processing. 61:3321-3333
ISSN:	1941-0476 1053-587X
DOI:	10.1109/tsp.2013.2257763
Popis:	Identification of systems with sparse impulse response encounters large applicability. Numerous techniques have been proposed to identify such systems efficiently. One strategy that leads to specially good results is to detect the active (nonzero) response samples and update only the corresponding adaptive coefficients. Wavelet-based approaches have been shown to be specially effective to this end. This paper proposes a new region-based wavelet-packet (RBWP) algorithm for efficient identification of systems with sparse impulse responses with arbitrary frequency spectra and with any delay of the effective response. The discrete wavelet packet transform (DWPT) is adaptively tailored to the energy distribution of the unknown system's response spectrum. The new algorithm leads to a reduced number of active weights and to a reduced computational complexity, when compared with competing wavelet-based algorithms. Monte Carlo simulation results show good performances regarding convergence speed and robustness to design parameter choice.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::db6016f015cb0bd3ea85a3b89b8b15f3 https://doi.org/10.1109/tsp.2013.2257763 Zobrazit plný text záznamu