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A high-speed neural analog circuit for computing the bit-level transform image coding

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3 Author(s)
Chang, P.R. ; Nat. Chiao-Tung Univ., Hsin-Chu, Taiwan ; Hwang, K.S. ; Gong, H.M.

A Hopfield-type neural network approach is presented which leads to an analog circuit for implementing the bit-level transform image. The computation of a 2D DCT (discrete cosine transform)-based transform coding is shown to solve a quadratic nonlinear programming problem subject to the corresponding 2's complement binary variables of 2D DCT coefficients. A novel Hopfield-type neural analog circuit designed to perform the DCT-based quadratic nonlinear programming could obtain the desired coefficients of an 8×8 DCT in 2's complement code within 1 ns with RC=10-8. A programmable analog MOS implementation provides a flexible architecture to realize the DCT-based neural net

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:37 ,  Issue: 3 )

Date of Publication:

Aug 1991

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