Title :
Low Rate 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
Abstract :
This paper 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; quantisation (signal); source coding; Shannon rate-distortion function; absolute error distortion; lossy coding technique; low rate scalar quantization; memoryless Gaussian source; operational rate-distortion function; Computer errors; Distortion measurement; Laplace equations; Mathematics; Performance loss; Quantization; Rate distortion theory; Rate-distortion;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.262092