Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105918
Title: A variable step-size multichannel equalization algorithm exploiting sparseness measure for room acoustics
Authors: Khong, Andy Wai Hoong
Rashobh, Rajan S.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Rashobh, R. S., & Khong, A. W. H. (2012). A variable step-size multichannel equalization algorithm exploiting sparseness measure for room acoustics. 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 2753-2756.
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.
URI: https://hdl.handle.net/10356/105918
http://hdl.handle.net/10220/17689
DOI: 10.1109/ISCAS.2012.6271879
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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