Title :
Blind adaptive estimation of KLT basis vectors
Author :
Davila, Carlos E.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fDate :
7/1/2001 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
