Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7998
Title: A new family of concurrent algorithms for adaptive volterra and linear filters
Authors: Chaturvedi, Ajit Kumar
Sharma G.
Published in: IEEE Transactions on Signal Processing
Abstract: A novel idea for introducing concurrency in LS adaptive algorithms by sacrificing optimality has been proposed. The resultant class of algorithms provides schemes to fill the wide gap in the convergence rates of LS and SG algorithms. It will be particularly useful in the real-time implementations of large-order linear and Volterra filters for which both the LS and SG algorithms are unsuited. © 1999 IEEE.
Citation: IEEE Transactions on Signal Processing (1999), 47(9): 2547-2551
URI: https://doi.org/10.1109/78.782201
http://repository.iitr.ac.in/handle/123456789/7998
Issue Date: 1999
Keywords: Adaptive filters
Convergence rate
Least mean square methods
Least squares methods
Parallel algorithms
ISSN: 1053587X
Author Scopus IDs: 9333507700
7202756992
Author Affiliations: Chaturvedi, A.K., Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India
Sharma, G., Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India
Corresponding Author: Chaturvedi, A.K.; Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India; email: akc@iitk.ac.in
Appears in Collections:Journal Publications [ECE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.