Results 321 to 330 of about 1,866,673 (365)

A Theory For Vector Quantization

Proceedings. 1991 IEEE International Symposium on Information Theory, 2005
A DPCM-based vector quantizer is derived as an approximation to the recently developed step-by-step optimal quantizer algorithm. The new quantizer requires only a fraction of the computation needed by the optimal quantizer. While the approximation is derived under the assumption of a large bit rate, simulation studies have shown that for certain ...
S.C. Greer, J.G. Dunham
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Vector quantization by deterministic annealing

IEEE Transactions on Information Theory, 1992
Summary: A deterministic annealing approach is suggested to search for the optimal vector quantizer given a set of training data. The problem is reformulated within a probabilistic framework. No prior knowledge is assumed on the source density, and the principle of maximum entropy is used to obtain the association probabilities at a given average ...
E. Gurewitz, Geoffrey C. Fox, Kenneth Rose   +2 more
openaire   +1 more source

Image compression based on discrete cosine transform and multistage vector quantization

International Conference on Multimedia and Ubiquitous Engineering, 2015
In this paper, an image compression scheme is proposed, based on discrete cosine transform (DCT). This scheme is a hybrid method, which combines vector quantization (VQ) and differential pulse code modulation (DPCM).
Xiao Zhou, Chengyou Wang, Yunhao Bai
semanticscholar   +1 more source

On the structure of vector quantizers

IEEE Transactions on Information Theory, 1982
Vector quantization is intrinsically superior to predictive coding, transform coding, and other suboptimal and {\em ad hoc} procedures since it achieves optimal rate distortion performance subject only to a constraint on memory or block length of the observable signal segment being encoded.
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Harmonic Vector Quantization

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
Audio coding of harmonic signals is a challenging task for conventional MDCT coding schemes. In this paper we introduce a novel algorithm for improved transform coding of harmonic audio. The algorithm does not deploy the conventional scheme of splitting the input signal into a spectrum envelope and a residual, but models the spectral peak regions.
Jonas Svedberg, Erik Norvell, Sigurdur Sverrisson, Volodya Grancharov, Tomas Jansson Toftgård, Harald Pobloth   +5 more
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'Neural-gas' network for vector quantization and its application to time-series prediction

IEEE Trans. Neural Networks, 1993
A neural network algorithm based on a soft-max adaptation rule is presented. This algorithm exhibits good performance in reaching the optimum minimization of a cost function for vector quantization data compression.
T. Martinetz, Stanislav G. Berkovich, K. Schulten   +2 more
semanticscholar   +1 more source

The binary vector quantization

2008 3rd International Symposium on Communications, Control and Signal Processing, 2008
The binary search algorithm for vector quantization is firstly proposed in this paper. It employs jointly sensitive-codeword based on the binary tree search structure to improve the search structure. Comparisons of experimental results show that the proposed algorithm performs the best. Most of search space is reduced.
Shaw-Hwa Hwang, Long-Jhe Yan
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Systolic architectures for vector quantization

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
The intensive computational demands of vector quantization (VQ) for important applications in speech and image compression and speech recognition have motivated the need for dedicated processors with very high throughput capabilities. Systolic architectures offer one of the most promising approaches for fulfilling the demanding VQ speed requirements in
G. Davidson, Peter R. Cappello, Allen Gersho   +2 more
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Alphabet-constrained vector quantization

IEEE Transactions on Information Theory, 1993
Summary: Alphabet-constrained rate-distortion theory is extended to coding of sources with memory. Two different cases are considered: one, when only the size of the codebook is constrained and additionally, when the codevector values are also held fixed.
R.P. Rao, W.A. Pearlman
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Adaptive Vector Quantization

1992
In adaptive quantization, the parameters of a quantizer are updated during real-time operation based on observed information regarding the statistics of the signal being quantized. This paper first discusses single parameter backward adaptation for scalar and vector quantization.
Allen Gersho, Robert M. Gray
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