Nonparametric detectors based on m-interval partitioning
- 1 March 1972
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 18 (2) , 251-257
- https://doi.org/10.1109/tit.1972.1054788
Abstract
A new class of nonparametric detectors based onm- 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
This publication has 6 references indexed in Scilit:
- Lower bounds in the capacity of permutation channelsIEEE Transactions on Information Theory, 1971
- An efficient nonparametric detector based on a three-sample classification modelIEEE Transactions on Information Theory, 1968
- The Kolmogorov-Smirnov tests in signal detection (Corresp.)IEEE Transactions on Information Theory, 1967
- Stochastic Comparison of TestsThe Annals of Mathematical Statistics, 1960
- The Efficiency of Some Nonparametric Competitors of the $t$-TestThe Annals of Mathematical Statistics, 1956
- On a Theorem of PitmanThe Annals of Mathematical Statistics, 1955