Unconstrained Hartley domain least mean square adaptive filter

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/53

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DC Field	Value	Language
dc.contributor.author	Meher, P K	-
dc.contributor.author	Panda, G	-
dc.date.accessioned	2005-06-06T06:37:46Z	-
dc.date.available	2005-06-06T06:37:46Z	-
dc.date.issued	1993-09	-
dc.identifier.citation	IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol 40, Iss 9, P 582-585	en
dc.identifier.uri	http://hdl.handle.net/2080/53	-
dc.description	Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE DOI: 10.1109/82.257341	en
dc.description.abstract	An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been proposed. It is found from computer simulation that the proposed algorithm has similar performance to the time domain least mean square (LMS) algorithm for uncorrelated signals; but yields faster and better convergence for highly correlated signals. The UHLMS algorithm has identical performance to that of the unconstrained frequency domain least mean square (UFLMS) algorithm, but requires significantly less computation	en
dc.format.extent	383677 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	adaptive filters	en
dc.subject	computational complexity	en
dc.subject	signal processing	en
dc.title	Unconstrained Hartley domain least mean square adaptive filter	en
dc.type	Article	en
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