NDLI: A new approach to least-squares adaptive filtering

Content Provider	IEEE Xplore Digital Library
Author	Kocal, O.H.
Copyright Year	1998
Description	Author affiliation: Fac. of Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey (Kocal, O.H.)
Abstract	A new adaptive algorithm, which is different from the gradient based algorithms and the recursive least-squares algorithms, from the point of view of the mathematical basis that it depends on, to be used for least-squares adaptive filtering is proposed. The algorithm is based on iterative solution methods which are used for the solution of linear equations. It is shown that the new algorithm provides an unbiased estimator for optimum Wiener solution. The proposed method is compared to the least mean square (LMS) algorithm and the recursive least squares (RLS) algorithm, considering computational complexity and rate of convergence criteria. It has been observed that the new algorithm has the convergence rate advantage over the LMS and computational complexity advantage over RLS algorithm. On the other hand, the new method combines the desirable convergence characteristics of the RLS when the eigenvalue spread of the correlation matrix of the input signal is not large. It has been shown that the new method of madpr (multiplication and division per recursion) is always much smaller than that of the RLS and smaller than that of the FRLS algorithm, for M/spl les/7, where M is the number of the adjustable weights in the algorithm (order of the system).
Starting Page	261
Ending Page	264
File Size	312393
Page Count	4
File Format	PDF
ISBN	0780344553
DOI	10.1109/ISCAS.1998.694459
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Iterative algorithms Resonance light scattering Filtering algorithms Least squares approximation Computational complexity Adaptive algorithm Iterative methods Equations Least squares methods
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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