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

Zheng TANG; Hirofumi HEBISHIMA; Okihiko ISHIZUKA; Koichi TANNO

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

Zheng TANG, Hirofumi HEBISHIMA, Okihiko ISHIZUKA, Koichi TANNO

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.10 pp.1345-1349

Publication Date: 1995/10/25

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Type of Manuscript: Special Section LETTER (Special Section on Nonlinear Theory and Its Applications)

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Zheng TANG, Hirofumi HEBISHIMA, Okihiko ISHIZUKA, Koichi TANNO, "Implementation of T-Model Neural-Based PCM Encoders Using MOS Charge-Mode Circuits" in IEICE TRANSACTIONS on Fundamentals, vol. E78-A, no. 10, pp. 1345-1349, October 1995, doi: .
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e78-a_10_1345/_p

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@ARTICLE{e78-a_10_1345,
author={Zheng TANG, Hirofumi HEBISHIMA, Okihiko ISHIZUKA, Koichi TANNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Implementation of T-Model Neural-Based PCM Encoders Using MOS Charge-Mode Circuits},
year={1995},
volume={E78-A},
number={10},
pages={1345-1349},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={October},}

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TY - JOUR
TI - Implementation of T-Model Neural-Based PCM Encoders Using MOS Charge-Mode Circuits
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1345
EP - 1349
AU - Zheng TANG
AU - Hirofumi HEBISHIMA
AU - Okihiko ISHIZUKA
AU - Koichi TANNO
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1995
AB - 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.
ER -