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Implementation of T-Model Neural-Based PCM Encoders Using MOS Charge-Mode Circuits
Zheng TANG Hirofumi HEBISHIMA Okihiko ISHIZUKA Koichi TANNO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1995/10/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Nonlinear Theory and Its Applications)
neural network, T-Model, PCM encoder network, Hopfield model, MOS charge-mode circuits,
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This paper describes an MOS charge-mode version of a T-Model neural-based PCM encoder. The neural-based PCM encoding networks are designed, simulated and implemented using MOS charge-mode circuits. Simulation results are given for both the T-Model and the Hopfield model CMOS charge-mode PCM encoders, and demonstrate the T-Model neural-based one performs the PCM encoding perfectly, while the Hopfield one fails to.