Method of processing signal data on the basis of principal compo

Image analysis – Image compression or coding

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382276, 382254, G06K 936, G06K 946

Patent

active

055839517

ABSTRACT:
A method is proposed for determining approximations of eigenvectors of a covariance matrix associated with signal data on the basis of the Principal Component Transform. Successive iterations on estimates enhance the development into the direction of the principal component considered. The method is applicable to the Singular Value Decomposition of data matrices. The operations to be performed are similar to those required in a neural net for adapting the synaptic coefficients, Apparatus are proposed for performing the method.

REFERENCES:
patent: 4945502 (1990-07-01), Kwon et al.
patent: 5379352 (1995-01-01), Sirat et al.
Gonzales et al., Digital Image Processing, Second Edition, Addison-Wesley Publishing Company, 1987, pp. 122-130.
Chauvin, "Principal Component Analysis By Gradient Descent On A Constrain Lienear Hebbian Cell", IEEE and INNS International Joint Conference on Neural Nets, 1989, pp. 1373-1405.

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