By Topic

Lattice vector quantization of generalized Gaussian sources

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Feng Chen ; Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA ; Zheng Gao ; Villasenor, J.

Many important sources of data including sub-band image and speech coefficients are highly peaked and can be well-modeled by the family of generalized Gaussian (GG) PDFs parameterized by a shape parameter ν. We present here algorithms for defining and quantizing to a Z lattice in which the boundary is optimized to the characteristics of GG sources, and show that these techniques lead to high performance and low complexity for bit rates and dimensions that are of interest in a number of practical coding applications. We derive an analytical description of the granular and overload distortion valid for low and moderate bit rates, and also provide a description of quantizer performance in the limit of high rate and dimension

Published in:

Information Theory, IEEE Transactions on  (Volume:43 ,  Issue: 1 )