Competitive learning and soft competition for vector quantizer design
- 1 January 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 40 (2) , 294-309
- https://doi.org/10.1109/78.124940
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Globally optimal vector quantizer design by stochastic relaxationIEEE Transactions on Signal Processing, 1992
- Corrections to 'Gradient algorithms for designing predictive vector quantizers'IEEE Transactions on Signal Processing, 1991
- Phoneme recognition using time-delay neural networksIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Gradient algorithms for designing predictive vector quantizersIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- Convergence of an adaptive linear estimation algorithmIEEE Transactions on Automatic Control, 1984
- Optimization by Simulated AnnealingScience, 1983
- Least squares quantization in PCMIEEE Transactions on Information Theory, 1982
- On the structure of vector quantizersIEEE Transactions on Information Theory, 1982
- Multiple local optima in vector quantizers (Corresp.)IEEE Transactions on Information Theory, 1982
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980