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ICASSP
2010
IEEE
13 years 5 months ago
Enhanced trellis based vector quantization for coordinated beamforming
This paper presents two techniques to boost the quantization performance of trelli-based beamforming vector quantization schemes [?], [?]. It is well known that tail-biting trelli...
Chun Kin Au-Yeung, Shahab Sanayei
NIPS
1992
13 years 6 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard
ESANN
1997
13 years 6 months ago
Kohonen maps versus vector quantization for data analysis
Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
Eric de Bodt, Michel Verleysen, Marie Cottrell
PDCN
2004
13 years 6 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
ESANN
2007
13 years 6 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
ICSC
1995
Springer
13 years 8 months ago
Fast Resampling Using Vector Quantization
Abstract. We present a fast resampling scheme using vector quantization. Our method di ers from prior work applying vector quantization to speeding up image and volume processing i...
Patrick C. Teo, Chase D. Garfinkle
DCC
1995
IEEE
13 years 8 months ago
Constrained-Storage Vector Quantization with a Universal Codebook
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
ICIP
1998
IEEE
13 years 9 months ago
Vector Set-Partitioning with Successive Refinement Voronoi Lattice VQ for Embedded Wavelet Image Coding
: While lattice vector quantization (LVQ) can solve the complexity problem of LBG based vector quantizers, and also yield very general codebooks, a single stage lattice VQ, when ap...
Debargha Mukherjee, Sanjit K. Mitra
DCC
2000
IEEE
13 years 9 months ago
QccPack: An Open-Source Software Library for Quantization, Compression, and Coding
We describe the QccPack software package, an open-source collection of library routines and utility programs for quantization, compression, and coding of data. QccPack is being wr...
James E. Fowler
PCM
2004
Springer
106views Multimedia» more  PCM 2004»
13 years 10 months ago
Performance Improvement of Vector Quantization by Using Threshold
Abstract. Vector quantization (VQ) is an elementary technique for image compression. However, the complexity of searching the nearest codeword in a codebook is time-consuming. In t...
Hung-Yi Chang, Pi-Chung Wang, Rong-Chang Chen, Shu...