DocumentCode :
3020841
Title :
A variable step-size multichannel equalization algorithm exploiting sparseness measure for room acoustics
Author :
Rashobh, Rajan S. ; Khong, Andy W H
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2012
fDate :
20-23 May 2012
Firstpage :
2753
Lastpage :
2756
Abstract :
Non-adaptive multichannel equalization (MCEQ) algorithms based on multiple input/output inverse theorem (MINT) is computationally expensive as MINT involves the inversion of a convolution matrix with dimension that is proportional to the length of the acoustic impulse responses. To address this, we propose a MINT-based algorithm that estimates inverse filters by minimizing a cost function iteratively. To further enhance the convergence rate, we formulate an algorithm that employs an adaptive step-size that is derived as a function of the sparseness measure. The proposed algorithm is then applied to existing MINT-based equalization algorithms such as A-MINT and the currently proposed MCEQ-based algorithms.
Keywords :
architectural acoustics; convergence; convolution; inverse problems; transient response; acoustic impulse responses; convergence rate; convolution matrix inversion; inverse filters; multiple input-output inverse theorem; nonadaptive multichannel equalization; room acoustics; sparseness measurement; variable step-size multichannel equalization algorithm; Acoustics; Approximation algorithms; Convergence; Cost function; Signal processing algorithms; Speech; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
ISSN :
0271-4302
Print_ISBN :
978-1-4673-0218-0
Type :
conf
DOI :
10.1109/ISCAS.2012.6271879
Filename :
6271879
Link To Document :
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