Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105918
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dc.contributor.authorKhong, Andy Wai Hoongen
dc.contributor.authorRashobh, Rajan S.en
dc.date.accessioned2013-11-15T06:37:20Zen
dc.date.accessioned2019-12-06T22:00:40Z-
dc.date.available2013-11-15T06:37:20Zen
dc.date.available2019-12-06T22:00:40Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationRashobh, 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.en
dc.identifier.urihttps://hdl.handle.net/10356/105918-
dc.description.abstractNon-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.en
dc.language.isoenen
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleA variable step-size multichannel equalization algorithm exploiting sparseness measure for room acousticsen
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.conferenceIEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea)en
dc.identifier.doi10.1109/ISCAS.2012.6271879en
item.grantfulltextnone-
item.fulltextNo Fulltext-
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