DocumentCode
1174443
Title
Asymptotically optimal quantizers for detection of i.i.d
Author
Benitz, Gerald R. ; Bucklew, James A.
Author_Institution
Dept. of Electr. & Comput Eng., Wisconsin Univ., Madison, WI, USA
Volume
35
Issue
2
fYear
1989
fDate
3/1/1989 12:00:00 AM
Firstpage
316
Lastpage
325
Abstract
The asymptotic probability of error for quantization in maximum-likelihood tests is analyzed. The authors assume quantizers with large numbers of levels generated from a companding function. A theorem that relates the companding function to the asymptotic probability of error is proved. The companding function is then optimized
Keywords
error statistics; information theory; probability; signal detection; alpha entropy; asymptotic probability of error; companding function; error probability; independent identically distributed data; maximum-likelihood tests; optimal quantizers; quantization; signal detection; Computer errors; Degradation; Distortion measurement; Error probability; Estimation theory; Maximum likelihood detection; Maximum likelihood estimation; Quantization; Size measurement; Testing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.32125
Filename
32125
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