A novel entropy-constrained competitive learning algorithm for vector quantization

Neurocomputing

Volumn 25, Issue 1-3, 1999, Pages 133-147

  Hwang, Wen Jyi ^a   Ye, Bo Yuan ^a   Liao, Shi Chiang ^a  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Competitive learning; Signal compression; Vector quantization

Indexed keywords

COMPUTER SIMULATION; COMPUTER SYSTEMS PROGRAMMING; CONSTRAINT THEORY; VECTOR QUANTIZATION;

ENTROPY-CONSTRAINED COMPETITIVE LEARNING (ECCL); ENTROPY-CONSTRAINED VECTOR QUANTIZERS (ECVQ);

LEARNING ALGORITHMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CODING; COMPUTER SIMULATION; ENTROPY; IMAGE PROCESSING; INFORMATION PROCESSING; PRIORITY JOURNAL; SIGNAL PROCESSING;

EID: 0032937665     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(99)00058-2     Document Type: Article

References (16)

1. H. Abut, Vector Quantization, IEEE Press, New York, 1990.
2. Ahalt S.C., Krishnamurthy A.K., Chen P., Melton D.E. Competitive learning algorithms for vector quantization. Neural Networks. 3:1990;277-290.
3. T.C. Bell, J.G. Cleary, I.H. Whitten, Text Compression, Prentice-Hall, Englewood Cliffs, NJ, 1990.
4. Chou P.A., Lookabaugh T., Gray R.M. Entropy-constrained vector quantization. IEEE Trans. Acoust. Speech Signal Process. 37:1989;31-42.
5. Dony R.D., Haykin S. Neural network approaches to image compression. Proc. IEEE. 83(2):1995;288-303.
6. A. Gersho, R.M. Gray, Vector Quantization and Signal Compression, Kluwer, Norwood, MA, 1992.
7. R.W. Hamming, Coding and Information Theory, second ed., Prentice-Hall, Englewood Cliffs, NJ, 1986.
8. S. Haykin, Neural Networks, Macmillan, New York, 1994.
9. J. Jiang, "Performance assesment of five neural networks and architecture design for image vector quantization, IEE Colloquium, Low Bit Image Coding, Digest No. 1995 / 154, 1995, pp. 2 / 1-6.
10. T. Kohonen, Self-organization and Associative Memory, third ed., Springer, Berlin, Germany, 1989.
11. Kosmatopoulos E.B., Christodoulou M.A. Convergence properties of a class of learning vector quantization algorithms. IEEE Trans. Image Process. 5:1996;361-368.
12. Linde Y., Buzo A., Gray R.M. An algorithm for vector quantizer design. IEEE Trans. Commun. COM-28:1980;84-95.
13. J.D. McAuliffe, L.E. Altas, C. Rivera, A comparison of the LBG algorithm and Kohonen neural network paradigm for image vector quantization, Proceedings of the International Conference on Acoustics Speech and Signal Processing, Albuquerque, NM, April 1990, pp. 2293-2296.
14. Pal N.R., Bezdek J.C., Tsao E.C.-K. Generalized clustering networks and Kohonen's self-organizing scheme. IEEE Trans. Neural Networks. 4:1993;549-557.
15. Rubin F. Arithmetic stream coding using fixed precision registers. IEEE Trans. Inform. Theory. IT-25:1979;672-675.
16. Ziv J. Coding theorems for individual sequences. IEEE Trans. Inform. Theory. IT-25:1978;405-412.