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Karhunen-Loeve transform using neural networks

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3 Author(s)
Xianing Zhu ; Ocron Inc., Santa Clara, CA, USA ; Shengwei Zhang ; Constantinides, A.G.

The optimality of Karhunen-Loeve transform (KLT) over other transforms has been well known, together with the difficulty in implementing practical KLT systems. The wide applications of the transform deserve a new investigation on realizing such systems by using artificial neural networks. In this paper the KLT is known to be equivalent to a constrained optimization problem by maximizing covariance of output signals with the constraint of orthonormality. A neural network is then developed which can converge to the basis vectors of the transform

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:7 )

Date of Conference:

27 Jun-2 Jul 1994