Implementation of T-Model Neural-Based PCM Encoders Using MOS Charge-Mode Circuits

Zheng TANG  Hirofumi HEBISHIMA  Okihiko ISHIZUKA  Koichi TANNO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E78-A   No.10   pp.1345-1349
Publication Date: 1995/10/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Nonlinear Theory and Its Applications)
Category: 
Keyword: 
neural network,  T-Model,  PCM encoder network,  Hopfield model,  MOS charge-mode circuits,  

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Summary: 
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.