DocumentCode
1155124
Title
Low-Resolution Scalar Quantization for Gaussian Sources and Absolute Error
Author
Marco, Daniel ; Neuhoff, David L.
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
Volume
53
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
1177
Lastpage
1179
Abstract
This correspondence considers low-resolution scalar quantization for a memoryless Gaussian source with respect to absolute error distortion. It shows that slope of the operational rate-distortion function of scalar quantization is infinite at the point Dmax where the rate becomes zero. Thus, unlike the situation for squared error distortion, or for Laplacian and exponential sources with squared or absolute error distortion, for a Gaussian source and absolute error, scalar quantization at low rates is far from the Shannon rate-distortion function, i.e., far from the performance of the best lossy coding technique
Keywords
Gaussian processes; memoryless systems; quantisation (signal); signal resolution; source coding; Laplacian source; absolute error distortion; exponential sources; low-resolution scalar quantization; memoryless Gaussian source; operational rate-distortion function; Computer errors; Distortion measurement; Entropy; Laplace equations; Mathematics; Performance loss; Quantization; Rate-distortion; Source coding; Transform coding; Absolute error; Gaussian; entropy constrained quantization; low rate; low resolution; scalar quantization;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2006.890714
Filename
4106132
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