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» Design of Optimal Quantizers for Distributed Source Coding
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ICASSP
2011
IEEE
12 years 11 months ago
Quantization with an adjustable codeword length penalty
Quantizers are generally designed either for fixed-rate coding or variable-rate coding. Under common conditions, variable-rate quantization leads to the same mean distortion for ...
W. Bastiaan Kleijn, Moo Young Kim
ICIP
1995
IEEE
14 years 9 months ago
A lattice vector quantizer for generalized Gaussian sources
A fixed-rate lattice vector quantizer for generalized Gaussian (GG) sources is presented. By using the contour of counstant probability of a generalized Gaussian source to bound t...
Feng Chen, Zheng Gao, John D. Villasenor
JSW
2006
78views more  JSW 2006»
13 years 7 months ago
Hybrid Genetic Algorithm for Design of Robust Communication Systems
A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and ch...
Chien-Min Ou, Jing-Jhih Chen, Wen-Jyi Hwang
DCC
2011
IEEE
13 years 2 months ago
Scalar Quantization for Relative Error
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
John Z. Sun, Vivek K. Goyal
ICASSP
2008
IEEE
14 years 2 months ago
Audio authentication based on distributed source coding
Audio authentication is important in content delivery via untrusted intermediaries, for example peer-to-peer (P2P) file sharing. Many differently encoded versions of the original...
David P. Varodayan, Yao-Chung Lin, Bernd Girod