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Reduced polynomial order linear prediction

dc.contributor.authorVis, Marvin L., author
dc.contributor.authorScharf, Louis L., author
dc.contributor.authorLinebarger, Darel A., author
dc.contributor.authorDeGroat, Ronald D., author
dc.contributor.authorDowling, Eric M., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:18:38Z
dc.date.available2007-01-03T04:18:38Z
dc.date.issued1996
dc.description.abstractReduced rank linear predictive frequency and direction-of-arrival (DOA) estimation algorithms use the singular value decomposition (SVD) to produce a noise-cleaned linear prediction vector. These algorithms then root this vector to obtain a subset of roots, whose angles contain the desired frequency or DOA information. The roots closest to the unit circle are deemed to be the "signal roots." The rest of the roots are "extraneous." The extraneous roots are expensive to calculate. Further, a search must be done to discern the signal roots from the extraneous roots. Here, we present a reduced polynomial order linear prediction method that simplifies the rooting computation for applications where high-speed processing is critical.
dc.description.sponsorshipThis work was supported, in part, by the National Science Foundation Grant MIP-9203296 and the Texas Advanced Research Program Grant 009741-022.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationDowling, Eric M., et al., Reduced Polynomial Order Linear Prediction, IEEE Signal Processing Letter 3, no. 3 (March 1996): 92-94.
dc.identifier.urihttp://hdl.handle.net/10217/736
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1996 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.subjectdirection-of-arrival estimation
dc.subjectfrequency estimation
dc.subjectpolynomials
dc.subjectsingular value decomposition
dc.subjectprediction theory
dc.titleReduced polynomial order linear prediction
dc.typeText

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