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Vector quantization

Known as: VQ, Vector quantisation 
The density matching property of vector quantization is powerful, especially for identifying the density of large and high-dimensioned data. Since… 
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Papers overview

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Highly Cited
2008
Highly Cited
2008
(cid:3) Abstract— Mostly transforms are used for speech data compressions which are lossy algorithms. Such algorithms are… 
Highly Cited
2008
Highly Cited
2008
Given a large audio database of music recordings, the goal of classical audio identification is to identify a particular audio… 
2008
2008
A low bit rate still image compression scheme by compressing the indices of Vector Quantization (VQ) and generating residual… 
Highly Cited
2005
Highly Cited
2005
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector… 
2001
2001
We address a method to efficiently select Gaussian mixtures for fast acoustic likelihood computation. It makes use of context… 
Highly Cited
1995
Highly Cited
1995
The authors evaluate continuous density hidden Markov models (CDHMM), dynamic time warping (DTW) and distortion-based vector… 
1995
1995
A self-mapping M : X —» X of a nonempty set X has the Period- Two-Property (p2p) if M2x = x holds for every Af-periodic point x e… 
1990
1990
A vector quantization (VQ) scheme with memory called dynamic finite-state vector quantization (DFSVQ) is described. In the… 
1988
1988
An adaptive technique for image sequence coding that is based on vector quantization is described. Each frame in the sequence is… 
Highly Cited
1987
Highly Cited
1987
This paper describes source encoding of the outputs of a block truncation coder (BTC), namely, the overhead statistical…