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T-Model Neural Network for PCM Encoding
Zheng TANG Okihiko ISHIZUKA Masakazu SAKAI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1994/10/25
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Neural Networks
neural network, T-Model, PCM encoder network, Hopfield model, non-linear A/D converter, A-law,
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A technique for pulse code modulation (PCM) encoding using a T-Model neural network is described. Performance evaluation on both the T-Model and the Hopfield model neural-based PCM encoders is carried out with PSpice simulations. The PSpice simulations also show that the T-Model neural-based PCM encoder computes to a global minimum much more effectively and more quickly than the Hopfield one.