DocumentCode
2871021
Title
A kind of pseudo-Gray coding based on Hopfield neural network
Author
Lin, Jiayu ; Yi, Bo ; Shen, Zhenkang
Author_Institution
Inst. of Electron. Technol., Nat. Univ. of Defence Technol., Changsha, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1295
Abstract
A kind of Hopfield neural network (HNN) is used for pseudo-Gray coding (PGC) to get sub-optimal solutions. This kind of HNN is easily modified to solve the problem of a simplified version of PGC for a single bit error channel model. Simulation experiment results show that this method could offer good performance. It provides the possibility for real-time implementation of PGC
Keywords
Gray codes; Hopfield neural nets; error correction codes; telecommunication channels; vector quantisation; HNN; Hopfield neural network; PGC; pseudo-Gray coding; real-time implementation; redundancy free error protection; single bit error channel model; sub-optimal solutions; vector quantization; Communication systems; Computer errors; Hopfield neural networks; Memoryless systems; NP-complete problem; Neural networks; Neurons; Oral communication; Protection; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770856
Filename
770856
Link To Document