DocumentCode :
1460185
Title :
Analysis and further results on adaptive entropy-coded quantization
Author :
Harrison, Daniel D. ; Modestino, James W.
Author_Institution :
General Electric Co., Schenectady, NY, USA
Volume :
36
Issue :
5
fYear :
1990
fDate :
9/1/1990 12:00:00 AM
Firstpage :
1069
Lastpage :
1088
Abstract :
Buffer underflow and overflow problems associated with entropy coding are completely eliminated by effectively imposing reflecting walls at the buffer endpoints. Synchronous operation of the AECQ (adaptive entropy-coded quantizer) encoder and decoder is examined in detail, and it is shown that synchronous operation is easily achieved without side information. A method is developed to explicitly solve for the buffer-state probability distribution and the resulting average distortion when memoryless buffer-state feedback is used as well as when the source is stationary and memoryless. This method is then used as a tool in the design of low-distortion AECQ systems, with particular attention given to developing source scale-invariant distortion performance. It is shown that the introduction of reflecting buffer walls in a properly designed AECQ system results in a very small rate-distortion performance penalty and that the resulting AECQ system can be an extremely simple and effective solution to the stationary memoryless source-coding problem for a wide range of source types. Operation with nonstationary sources is also examined
Keywords :
decoding; encoding; entropy; adaptive entropy-coded quantization; average distortion; buffer overflow; buffer underflow; buffer-state probability distribution; decoder; encoder; entropy coding; memoryless buffer-state feedback; memoryless source; nonstationary sources; reflecting buffer walls; source scale-invariant distortion; source-coding; stationary source; synchronous operation; Adaptive control; Channel capacity; Discrete cosine transforms; Entropy coding; Feedback; Linear predictive coding; Programmable control; Quantization; Rate distortion theory; Rate-distortion;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.57206
Filename :
57206
Link To Document :
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