Repository logo
 

Wiener filters in canonical coordinates for transform coding, filtering, and quantizing

dc.contributor.authorThomas, John K., author
dc.contributor.authorScharf, Louis L., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:21:31Z
dc.date.available2007-01-03T04:21:31Z
dc.date.issued1998
dc.description.abstractCanonical correlations are used to decompose the Wiener filter into a whitening transform coder, a canonical filter, and a coloring transform decoder. The outputs of the whitening transform coder are called canonical coordinates; these are the coordinates that are reduced in rank and quantized in our finite-precision version of the Gauss-Markov theorem. Canonical correlations are, in fact, cosines of the canonical angles between a source vector and a measurement vector. They produce new formulas for error covariance, spectral flatness, and entropy.
dc.description.sponsorshipThis work supported by the National Science Foundation under Contract MIP-9529050 and by the Office of Naval Research under Contract N00014-89-J-1070.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationScharf, Louis L. and John K. Thomas, Wiener Filters in Canonical Coordinates for Transform Coding, Filtering, and Quantizing, IEEE Transactions on Signal Processing 46, no. 3 (March 1998): 647-654.
dc.identifier.urihttp://hdl.handle.net/10217/746
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1998 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.subjectquantizing
dc.subjectcanonical correlations
dc.subjectcanonical coordinates
dc.subjectadaptive filtering
dc.subjecttransform coding
dc.subjectWiener filters
dc.titleWiener filters in canonical coordinates for transform coding, filtering, and quantizing
dc.typeText

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ECElls00012.pdf
Size:
334.7 KB
Format:
Adobe Portable Document Format
Description: