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|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
|DOI:||10.1109/ISCAS.2012.6271879||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Conference Papers|
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