DocumentCode :
912090
Title :
On optimum quantization
Author :
Wood, Roger C.
Volume :
15
Issue :
2
fYear :
1969
fDate :
3/1/1969 12:00:00 AM
Firstpage :
248
Lastpage :
252
Abstract :
The problem of minimizing mean-square quantization error is considered and simple closed form approximations based on the work of Max and Roe are derived for the quantization error and entropy of signals quantized by the optimum fixed- N quantizer. These approximations are then used to show that, when N is moderately large, it is better to use equl-interval quantizing than the optimum fixed- N quantizer if the signal is to be subsetiuently buffered and transmitted at a fixed bit rate. Finally, the problem of optimum quantizing in the presence of buffering is examined, and the numerical results presented for Gaussian signals indicate that equllevel quantizing yields nearly optimum results.
Keywords :
Quantization (signal); Signal quantization; Bit rate; Distortion; Entropy; Equations; NASA; Quantization; Signal processing; Stochastic processes;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1969.1054285
Filename :
1054285
Link To Document :
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