Title :
Blind adaptive estimation of KLT basis vectors
Author :
Davila, Carlos E.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.862001
