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» A lattice vector quantizer for generalized Gaussian sources
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DCC
2007
IEEE
14 years 4 months ago
Multiple Description Coding for Stationary and Ergodic Sources
We consider the problem of multiple description (MD) coding for stationary sources with the squared error distortion measure. The MD rate region is derived for the stationary and ...
Jun Chen, Chao Tian, Suhas N. Diggavi
DCC
2006
IEEE
14 years 4 months ago
Adaptive Run-Length / Golomb-Rice Encoding of Quantized Generalized Gaussian Sources with Unknown Statistics
We present a simple and efficient entropy coder that combines run-length and Golomb-Rice encoders. The encoder automatically switches between the two modes according to simple rul...
Henrique S. Malvar
TIT
2002
60views more  TIT 2002»
13 years 5 months ago
A Zador-like formula for quantizers based on periodic tilings
We consider Zador's asymptotic formula for the distortion-rate function for a variable-rate vector quantizer in the high-rate case. This formula involves the differential ent...
N. J. A. Sloane, Vinay A. Vaishampayan
ICASSP
2009
IEEE
14 years 2 days ago
Comparing maximum a posteriori vector quantization and Gaussian mixture models in speaker verification
Gaussian mixture model - universal background model (GMMUBM) is a standard reference classifier in speaker verification. We have recently proposed a simplified model using vect...
Tomi Kinnunen, Juhani Saastamoinen, Ville Hautam&a...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 5 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin