dc.contributor.authorRashobh, Rajan S.
dc.contributor.authorKhong, Andy Wai Hoong
dc.date.accessioned2013-11-15T06:37:20Z
dc.date.available2013-11-15T06:37:20Z
dc.date.copyright2012en_US
dc.date.issued2012
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_US
dc.identifier.urihttp://hdl.handle.net/10220/17689
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_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleA variable step-size multichannel equalization algorithm exploiting sparseness measure for room acousticsen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/ISCAS.2012.6271879


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record