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dc.contributor.advisorParker, Sydney R.
dc.contributor.authorDavis, Michael H.
dc.dateJune 1981
dc.date.accessioned2012-11-20T00:16:04Z
dc.date.available2012-11-20T00:16:04Z
dc.date.issued1981-06
dc.identifier.urihttp://hdl.handle.net/10945/20471
dc.description.abstractThe possibility of designing constrained adaptive finite impulse response digital filters is investigated as motivated by a study of adaptive noise cancellation. The first constraint considered consists of a fixed angle between filter zeros and is implemented in a master-slave approach in which one of the zeros is adjusted adaptively and the others follow subject to the constraint. The second constraint considered is a linear constraint on the filter weights and is implemented by augmenting the error equation with Lagrangean multipliers. Simulation indicate that the approach is feasible.en_US
dc.description.urihttp://archive.org/details/constraineddapti1094520471
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleConstrained adaptive least mean squared filtersen_US
dc.typeThesisen_US
dc.contributor.secondreaderJauregui, S.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Electrical Engineering
dc.subject.authorAdaptive filtersen_US
dc.subject.authorConstrained adaptive filtersen_US
dc.subject.authorLMSen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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