T-MODEL NEURAL-NETWORK FOR PCM ENCODING

Authors
TANG Z ISHIZUKA O SAKAI M
Citation
Z. Tang et al., T-MODEL NEURAL-NETWORK FOR PCM ENCODING, IEICE transactions on fundamentals of electronics, communications and computer science, E77A(10), 1994, pp. 1718-1721
Citations number
NO
Categorie Soggetti
Engineering, Eletrical & Electronic","Computer Science Hardware & Architecture","Computer Science Information Systems
Journal title
IEICE transactions on fundamentals of electronics, communications and computer science → ACNP
ISSN journal
09168508
Volume
E77A
Issue
10
Year of publication
1994
Pages
1718 - 1721
Database
ISI
SICI code
0916-8508(1994)E77A:10<1718:TNFPE>2.0.ZU;2-I
Abstract
A technique for pulse code modulation (PCM) encoding using a T-Model n eural 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 effect ively and more quickly than the Hopfield one.