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PCM
2004
Springer
106views Multimedia» more  PCM 2004»
14 years 3 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...
CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
14 years 2 months ago
Quantized consensus via adaptive stochastic gossip algorithm
Abstract— This paper is concerned with the distributed averaging problem over a given undirected graph. To enable every vertex to compute the average of the initial numbers sitti...
Javad Lavaei, Richard M. Murray
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 2 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
VVS
2000
IEEE
196views Visualization» more  VVS 2000»
14 years 2 months ago
Accelerating volume rendering with quantized voxels
We present here a new algorithm for accelerating volume rendering with an orthographic projection. Because volume rendering handles huge data sets, a reduction in the computationa...
Benjamin Mora, Jean-Pierre Jessel, René Cau...
DCC
1996
IEEE
14 years 2 months ago
Lapped Orthogonal Vector Quantization
The block processing inherent in the use of traditional vector quantization (VQ) schemes typically gives rise to perceptually distracting blocking artifacts. We demonstrate that s...
Henrique S. Malvar, Gary J. Sullivan, Gregory W. W...