DocumentCode
1501522
Title
Blind adaptive estimation of KLT basis vectors
Author
Davila, Carlos E.
Author_Institution
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
Volume
49
Issue
7
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
1364
Lastpage
1369
Abstract
Several algorithms for estimating the basis vectors used in the Karhunen-Loeve transform (KLT) are described. The algorithms are “blind” in the sense that they utilize minimal information about the data vector being encoded. This eliminates the need to repeatedly encode and transmit the KLT basis vectors in data compression applications
Keywords
Gaussian noise; Karhunen-Loeve transforms; adaptive estimation; convergence of numerical methods; data compression; transform coding; white noise; Gaussian white noise search direction; KLT basis vectors; Karhunen-Loeve Transform; algorithm convergence; algorithms; basis vectors; blind adaptive estimation; data compression applications; data vector encoding; Adaptive estimation; Algorithm design and analysis; Convergence; Data compression; Eigenvalues and eigenfunctions; Helium; Karhunen-Loeve transforms; Propagation losses; Vectors; White noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.928690
Filename
928690
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