DocumentCode
1077511
Title
On the Uniform Quantization of a Class of Sparse Sources
Author
Fraysse, Aurélia ; Pesquet-Popescu, Béatrice ; Pesquet, Jean-Christophe
Author_Institution
Lab. des Signaux et Syst., Univ. Paris-Sud, Gif-sur-Yvette
Volume
55
Issue
7
fYear
2009
fDate
7/1/2009 12:00:00 AM
Firstpage
3243
Lastpage
3263
Abstract
We consider the uniform scalar quantization of a class of mixed distributed memoryless sources, namely sources having a Bernoulli Generalized Gaussian (BGG) distribution. Both for low and high resolutions, asymptotic expressions of the distortion for a pth-order moment error measure, and close approximations of the entropy are provided for these sources. Operational rate-distortion functions at high bit rate and their slope factors at low bit rate are derived. The dependence of these results on p and the distribution parameters as well as the relation to the Shannon optimal rate-distortion bound are then discussed. The application of these results to transform coding in two simple cases is finally highlighted.
Keywords
Gaussian distribution; memoryless systems; quantisation (signal); rate distortion theory; transform coding; BGG distribution; Bernoulli generalized Gaussian distribution; Shannon optimal rate-distortion bound; mixed distributed memoryless sources; rate-distortion function; sparse sources; transform coding; uniform scalar quantization; Algorithm design and analysis; Bit rate; Data compression; Distortion measurement; Entropy; Image coding; Image reconstruction; Quantization; Transform coding; Video compression; Asymptotic performance; Bernoulli–Gaussian model; generalized Gaussian; mixed distribution; rate–distortion function; sparsity; transform coding; uniform quantization;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2009.2021329
Filename
5075869
Link To Document