NDLI: Low complexity and fast system identification using adaptive IIR filter employing subband decomposition

Content Provider	IEEE Xplore Digital Library
Author	Mohammed, J.R.
Copyright Year	2011
Description	Author affiliation: Communication Engineering Department, College of Electronic Engineering, University of Mosul, Iraq (Mohammed, J.R.)
Abstract	Adaptive infinite impulse response (IIR) filters are particularly beneficial in modeling real systems because they require lower computational complexity and can achieve performance more efficiently as compared to the finite impulse response (FIR) filters. In this paper, an adaptive IIR-RLS filter employing subband decomposition is investigated. The proposed subband IIR-RLS filter is based on oversampled uniform DFT banks. To investigate the performance and the stability of the proposed subband IIR-RLS filter in a practical implementation, real data for far-end speech signal and its echo were used in car environment. The computer simulations are included in order to verify the performance of the algorithm. The proposed subband IIR-RLS filter produces results that are significantly favorable than fullband versions of FIR-RLS and IIR-RLS filters and traditional subband FIR-NLMS filter. Moreover, this approach greatly reduces the computational complexity while the stability of the low-order IIR filters in the proposed subband IIR-RLS filter could be monitored easily. Therefore, the proposed subband system identification technique is very attractive for the practical use with real time implementation.
Starting Page	123
Ending Page	128
File Size	1450645
Page Count	6
File Format	PDF
ISBN	9781612849195
e-ISBN	9781612849225
DOI	10.1109/INISTA.2011.5946054
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Subband Adaptive Filters System Identification Adaptive filters Filter banks IIR filters Filtering algorithms Finite impulse response filter Acoustics Computational complexity Adaptive IIR Filtering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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