DocumentCode
2165445
Title
Comparing performance of entropy constrained scalar quantizer and other scalar quantizers
Author
Kim, Anna N. ; Ramstad, Tor A.
Author_Institution
Dept. of Telecommun., NTNU, Trondheim, Norway
Volume
2
fYear
2002
fDate
2002
Firstpage
1341
Abstract
The optimal entropy constrained scalar quantizer (ECSQ) gives the best possible rate-distortion performance of any scalar quantizer. While at high bit rates the optimal ECSQ converges to the uniform quantizer, optimization at low-bit regions demands usually numerical solutions with high complexity. The performance of optimal ECSQ is compared with three simpler scalar quantization configurations: uniform threshold quantizer, uniform quantizer with Wiener filter and the zero input correlation quantizer with Wiener filter. Gaussian distributed inputs are used in the simulations. Results show that the simpler quantizers, are able to match the optimal ECSQ performance, even at low bit rates while the uniform quantizer with Wiener filter provides the simplest configuration.
Keywords
Wiener filters; entropy; filtering theory; optimisation; quantisation (signal); rate distortion theory; Gaussian distributed inputs; Wiener filter; optimal entropy constrained scalar quantizer; rate-distortion performance; uniform threshold quantizer; zero input correlation quantizer; Additive noise; Bit rate; Distortion measurement; Entropy; Nonlinear equations; Quantization; Random variables; Rate-distortion; Signal representations; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN
0-7803-7503-3
Type
conf
DOI
10.1109/ICDSP.2002.1028342
Filename
1028342
Link To Document