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. | Conference: | IEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea) | 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 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Conference Papers |
SCOPUSTM
Citations
50
4
Updated on Mar 5, 2024
Page view(s) 50
538
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.