DocumentCode
353660
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
1
fYear
2000
fDate
2000
Firstpage
432
Abstract
An algorithm for estimating the basis vectors used in the Karhunen-Loeve transform (KLT) is described. The algorithm is “blind” in the sense that it utilizes minimal information about the data vector being encoded. It is capable of estimating the KLT basis vectors using only the KLT coefficients and one additional scalar quantity. This eliminates the need to repeatedly encode and transmit the KLT basis vectors
Keywords
Karhunen-Loeve transforms; adaptive estimation; convergence of numerical methods; data compression; eigenvalues and eigenfunctions; KLT basis vectors; Karhunen-Loeve transform; blind adaptive estimation; data vector; signal coding; Adaptive estimation; Eigenvalues and eigenfunctions; Karhunen-Loeve transforms; Propagation losses; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.862001
Filename
862001
Link To Document