T-Model Neural Network for PCM Encoding

Zheng TANG  Okihiko ISHIZUKA  Masakazu SAKAI 

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences  Vol.E77-A  No.10  pp.1718-1721
Publication Date: 1994/10/20
Online ISSN: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Neural Networks
Keyword: 
neural network,  T-Model,  PCM encoder network,  Hopfield model,  non-linear A/D converter,  A-law, 

Full Text: PDF

Summary: 
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.