Title :
Entropy-constrained successively refinable scalar quantization
Author :
Jafarkhani, Hamid ; Brunk, Hugh ; Farvardin, N.
Author_Institution :
Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
Abstract :
We study the design of entropy-constrained successively refinable scalar quantizers. We propose two algorithms to minimize the average distortion and design such a quantizer. We consider two sets of constraints on the entropy: (i) constraint on the average rate and (ii) constraint on aggregate rates. Both algorithms can be easily extended to design vector quantizers
Keywords :
entropy codes; quantisation (signal); rate distortion theory; source coding; aggregate rates constraint; average distortion minimisation; average rate constraint; entropy constraints; successively refinable scalar quantization; Aggregates; Algorithm design and analysis; Asynchronous transfer mode; Channel coding; Educational institutions; Entropy; Noise level; Quantization; Source coding; Streaming media;
Conference_Titel :
Data Compression Conference, 1997. DCC '97. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-7761-9
DOI :
10.1109/DCC.1997.582057
