DocumentCode
917208
Title
Nonparametric detectors based on m-interval partitioning
Author
Ching, Yau Chau ; Kurz, Ludwik
Volume
18
Issue
2
fYear
1972
fDate
3/1/1972 12:00:00 AM
Firstpage
251
Lastpage
257
Abstract
A new class of nonparametric detectors based on
- interval partitioning is introduced. It is easier to treat analytically and implement practically than the widely used class of nonparametric detectors based on rank partitioning of the received signal space. In addition, these new detectors are robust or relatively insensitive to the underlying noise distribution. If the quantiles of the noise distribution are known exactly, the structure of the detector is particularly simple. Some general results for an adaptive system, when the quantiles of the noise distribution must be estimated, were also obtained.
- interval partitioning is introduced. It is easier to treat analytically and implement practically than the widely used class of nonparametric detectors based on rank partitioning of the received signal space. In addition, these new detectors are robust or relatively insensitive to the underlying noise distribution. If the quantiles of the noise distribution are known exactly, the structure of the detector is particularly simple. Some general results for an adaptive system, when the quantiles of the noise distribution must be estimated, were also obtained.Keywords
Nonparametric detection; Adaptive systems; Detectors; Gaussian noise; Noise robustness; Signal analysis; Signal detection; Statistical analysis; Statistical distributions; Testing; Working environment noise;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1972.1054788
Filename
1054788
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