Results 251 to 260 of about 21,396 (309)

Two-stage vector quantization-lattice vector quantization

IEEE Transactions on Information Theory, 1995
Summary: A two-stage vector quantizer is introduced that uses an unstructured first-stage codebook and a second-stage lattice codebook. Joint optimum two-stage encoding is accomplished by exhaustive search of the parent codebook of the two-stage product code.
Jianping Pan, Thomas R. Fischer
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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.
Volodya Grancharov, Sigurdur Sverrisson, Erik Norvell, Tomas Toftgard, Jonas Svedberg, Harald Pobloth   +5 more
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Vector quantization: a review

Frontiers of Information Technology & Electronic Engineering, 2019
Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech coding and image coding. Traditional vector quantization methods can be divided into mainly seven types, tree-structured VQ, direct sum VQ, Cartesian product VQ, lattice VQ, classified VQ, feedback VQ, and fuzzy VQ, according to their codebook generation ...
Ze-bin Wu 0002, Junqing Yu
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Predictive vector quantization

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A proposed class of vector quantizers with memory, called Predictive Vector Quantizers (PVQ), exhibits good performance (as measured by mean-squared error distortion) for the encoding of speech signals at 16 kbits/sec. Two methods for designing PVQ's are described, and their performance is compared to that of memoryless VQ's by computer simulation ...
Amine Haoui, David G. Messerschmitt
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Vector quantization-lattice vector quantization of speech LPC coefficients

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
Two-stage vector quantization-lattice vector quantization (VQ-LVQ) is used to encode the speech line spectrum pair (LSP) parameters. VQ-LVQ has the advantages of lower implementational complexity and less required memory than split vector quantization (SVQ) and multi-stage vector quantization (MSVQ) with unstructured codebooks.
Jianping Pan, Thomas R. Fischer
openaire   +1 more source

Soft Learning Vector Quantization

Neural Computation, 2003
Learning vector quantization (LVQ) is a popular class of adaptive nearest prototype classifiers for multiclass classification, but learning algorithms from this family have so far been proposed on heuristic grounds. Here, we take a more principled approach and derive two variants of LVQ using a gaussian mixture ansatz. We propose an objective function
Sambu Seo, Klaus Obermayer
openaire   +3 more sources

Interframe hierarchical vector quantization

International Conference on Acoustics, Speech, and Signal Processing, 1989
An interframe hierarchical vector quantizer (IHVQ) is presented that is capable of encoding image sequence scenes at rates below 0.3 bit per pixel per frame. A regular decomposition quadtree method is used to segment the interframe differential signal into homogeneous regions of different block size.
Nasser M. Nasrabadi, Shihkuan E. Lin, Yushu Feng   +2 more
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Vector Quantization

, 2006
Vector quantization (VQ) is a critical step in representing signals in digital form for computer processing. It has various uses in signal and image compression and in classification.
Gerek, Ö. N., A. Enis Cetin, Çetin, A. Enis, Omer Nezih Gerek   +3 more
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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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Predictive residual vector quantization

Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002
This paper presents a new vector quantization technique, called predictive residual vector quantization (PRVQ), which combines the concepts of predictive vector quantization (PVQ) and residual vector quantization (RVQ) to implement a high performance VQ scheme with low search complexity.
Syed A. Rizvi, Nasser M. Nasrabadi
openaire   +1 more source