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
fDate :
3/1/2007 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.890714