Title :
Codecell contiguity in optimal fixed-rate and entropy-constrained network scalar quantizers
Author :
Effros, Michelle ; Muresan, Dan
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Abstract :
We consider the properties of optimal fixed-rate and entropy-constrained scalar quantizers for finite alphabet sources. In particular, we consider conditions under which the optimal scalar quantizer with contiguous codecells achieves performance no worse than the optimal scalar quantizer without the constraint of codecell contiguity. In addition to traditional scalar quantizers, we consider multi-resolution scalar quantizers and multiple description scalar quantizers and also look briefly at codes with decoder side information (Wyner-Ziv codes). While the conditions under which codecell contiguity is consistent with optimality in fixed-rate and entropy-constrained scalar quantization are quite broad, even with the squared error distortion measure, codecell contiguity in fixed-rate and entropy-constrained multi-resolution, multiple description, and Wyner-Ziv scalar quantization can preclude optimality for some sources.
Keywords :
decoding; entropy codes; optimisation; quantisation (signal); signal resolution; Wyner Ziv codes; codecell contiguity; decoder side information; entropy-constrained scalar quantizers; finite alphabet sources; multi-resolution scalar quantizers; multiple description scalar quantizers; network scalar quantizers; optimal fixed-rate scalar quantizers; performance; squared error distortion measure; Data compression; Decoding; Distortion measurement; Intelligent networks; Quantization; Rate-distortion; Writing;
Conference_Titel :
Data Compression Conference, 2002. Proceedings. DCC 2002
Print_ISBN :
0-7695-1477-4
DOI :
10.1109/DCC.2002.999969