Title :
An application of the Hopfield model to Huffman codes
Author :
Fabris, Fabio ; Della Riccia, Giacomo
Author_Institution :
Dipartimento di Matematica e Inf., Udine Univ., Italy
fDate :
5/1/1993 12:00:00 AM
Abstract :
An application of the neural Hopfield model to the source (optimal) coding problem is presented. This application gives the structure of a Hopfield network, capable of calculating the lengths of the codewords that must be associated to a source alphabet so as to minimize their average length. The case of a stationary and memoryless block-to-variable-length source coding is discussed
Keywords :
Hopfield neural nets; Huffman codes; encoding; Huffman codes; block-to-variable-length source coding; codewords; neural Hopfield model; source alphabet; Adaptive coding; Computer networks; Concurrent computing; Context modeling; Delay; H infinity control; Hopfield neural networks; Minimization; Neural networks; Neurons; Source coding; Voltage;
Journal_Title :
Information Theory, IEEE Transactions on
