Staff View: A hybrid adaptive technique for dynamic channel equalizations.

A hybrid adaptive technique for dynamic channel equalizations.

Bibliographic Details
Main Authors:	Amin, Moeness G., He, Lin.
Format:	Villanova Faculty Authorship
Language:	English
Published:	2002
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173051

Main Authors:

Amin, Moeness G., He, Lin.

Format:

Villanova Faculty Authorship

Language:

English

Published:

2002

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173051

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spelling	A hybrid adaptive technique for dynamic channel equalizations. Amin, Moeness G. He, Lin. An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting. 2002 Villanova Faculty Authorship vudl:173051 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, May 2002. en
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dc.description_txt_mv	An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting.
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A hybrid adaptive technique for dynamic channel equalizations.
Amin, Moeness G.
He, Lin.
An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting.
2002
Villanova Faculty Authorship
vudl:173051
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, May 2002.
en

dc.title_txt_mv

A hybrid adaptive technique for dynamic channel equalizations.

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Amin, Moeness G.
He, Lin.

dc.description_txt_mv

An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting.

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He, Lin.

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He, Lin.
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A hybrid adaptive technique for dynamic channel equalizations.

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