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
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