DocumentCode :
1566534
Title :
Low Rate Uniform Scalar Quantization of Memoryless Gaussian Sources
Author :
Sheinin, V. ; Jagmohan, A.
Author_Institution :
IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
fYear :
2006
Firstpage :
793
Lastpage :
796
Abstract :
The low-rate (<;1 bits per sample) operational rate-distortion performance of uniform scalar quantizers for the memoryless Gaussian source is studied. Approximate analytical expressions for the operational rate-distortion function are derived, and the accuracy of the derived function is verified through simulation. It is shown that in the zero-rate limit the derived operational rate-distortion function is first-order optimal with respect to the Shannon lower bound. The derived function is used to study the performance of uniform scalar quantizers for the Gaussian Wyner-Ziv problem. Lastly, the derived low-rate rate-distortion function is used to provide improved low-rate bit allocation for jointly Gaussian vectors.
Keywords :
Gaussian processes; approximation theory; memoryless systems; quantisation (signal); rate distortion theory; source coding; Shannon lower bound; Wyner-Ziv problem; approximate analytical expression; memoryless Gaussian source; operational rate-distortion performance; uniform scalar quantization; Analytical models; Bit rate; Entropy; History; Iterative algorithms; Performance analysis; Quantization; Random variables; Rate-distortion; Source coding; Source coding; Wyner-Ziv coding; bit allocation; low-rate coding; memoryless Gaussian source; scalar quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312521
Filename :
4106649
Link To Document :
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