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
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