DocumentCode :
945378
Title :
Quantizing for minimum distortion
Author :
Max, Joel
Volume :
6
Issue :
1
fYear :
1960
fDate :
3/1/1960 12:00:00 AM
Firstpage :
7
Lastpage :
12
Abstract :
This paper discusses the problem of the minimization of the distortion of a signal by a quantizer when the number of output levels of the quantizer is fixed. The distortion is defined as the expected value of some function of the error between the input and the output of the quantizer. Equations are derived for the parameters of a quantizer with minimum distortion. The equations are not soluble without recourse to numerical methods, so an algorithm is developed to simplify their numerical solution. The case of an input signal with normally distributed amplitude and an expected squared error distortion measure is explicitly computed and values of the optimum quantizer parameters are tabulated. The optimization of a quantizer subject to the restriction that both input and output levels be equally spaced is also treated, and appropriate parameters are tabulated for the same case as above.
Keywords :
Signal sampling/reconstruction; Decision theory; Distortion measurement; Distributed computing; Equations; Error analysis; Information theory; Maximum likelihood detection; Maximum likelihood estimation; Probability; Quantization; Signal detection; Transmitters; Yield estimation;
fLanguage :
English
Journal_Title :
Information Theory, IRE Transactions on
Publisher :
ieee
ISSN :
0096-1000
Type :
jour
DOI :
10.1109/TIT.1960.1057548
Filename :
1057548
Link To Document :
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