DocumentCode
856559
Title
Maximum entropy signal reconstruction with neural networks
Author
Ingman, Dov ; Merlis, Yoram
Author_Institution
Dept. of Quality Assurance & Reliability, Israel Inst. of Technol., Haifa, Israel
Volume
3
Issue
2
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
195
Lastpage
201
Abstract
The implementation of the maximum entropy reconstruction algorithms by means of neural networks is discussed. It is shown that the solutions of the maximum entropy problem correspond to the steady states of the appropriate Hopfield net. The choice of network parameters is discussed, and existence of the maximum entropy solution is proved
Keywords
computerised signal processing; entropy; neural nets; Hopfield net; maximum entropy signal reconstruction; network parameters; neural networks; signal processing; steady states; Biological neural networks; Computer networks; Concurrent computing; Entropy; Filtration; Image processing; Neural networks; Parallel processing; Signal processing; Signal reconstruction;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.125860
Filename
125860
Link To Document