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Two-dimensional block diagonal LMS adaptive filtering

dc.contributor.authorPan, Hongye, author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:49:17Z
dc.date.available2007-01-03T04:49:17Z
dc.date.issued1994
dc.description.abstractThis paper is concerned with the development of a two-dimensional (2-D) adaptive filters using the block diagonal least mean squared (BDLMS) method. In this adaptive filtering scheme the image is scanned and processed block by block in a diagonal fashion, and the filter weights are adjusted once per block rather than once per pixel. The diagonal scanning is adopted to avoid the problems inherent in the 1-D standard scanning schemes and to account for the correlations in two directions. The weight updating equation for 2-D BDLMS is derived and the convergence properties of the algorithms are investigated. Simulation results that indicate the effectiveness of the 2-D BDLMS when used for image enhancement, estimation, and detection applications are presented.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationAzimi-Sadjadi, Mahmood R. and Hongye Pan, Two-Dimensional Block Diagonal LMS Adaptive Filtering, IEEE Transactions on Signal Processing 42, no. 9 (September 1994): 2420-2429.
dc.identifier.urihttp://hdl.handle.net/10217/935
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1994 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectadaptive filters
dc.subjectconvergence of numerical methods
dc.subjecttwo-dimensional digital filters
dc.subjectimage processing
dc.subjectfiltering and prediction theory
dc.subjectleast squares approximations
dc.titleTwo-dimensional block diagonal LMS adaptive filtering
dc.typeText

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