Effects of additional independent noise in binary composite hypothesis-testing problems
Date
2009-09Source Title
3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009 - Proceedings
Publisher
IEEE
Pages
1 - 9
Language
English
Type
Conference PaperItem Usage Stats
190
views
views
166
downloads
downloads
Abstract
Performance of some suboptimal detectors can be improved by adding independent noise to their observations. In this paper, the effects of adding independent noise to observations of a detector are investigated for binary composite hypothesistesting problems in a generalized Neyman-Pearson framework. Sufficient conditions are derived to determine when performance of a detector can or cannot be improved via additional independent noise. Also, upper and lower limits are derived on the performance of a detector in the presence of additional noise, and statistical characterization of optimal additional noise is provided. In addition, two optimization techniques are proposed to calculate the optimal additional noise. Finally, simulation results are presented to investigate the theoretical results. © 2009 IEEE.
Keywords
Binary hypothesis-testingComposite hypothesis-testing
Neyman-pearson
Stochastic resonance
Binary composites
Binary hypothesis-testing
Composite hypothesis
Composite hypothesis-testing
Generalized neyman-pearson
Independent noise
Lower limits
Optimization techniques
Simulation result
Statistical characterization
Stochastic resonances
Sufficient conditions
Theoretical result
Circuit resonance
Communication systems
Magnetic resonance
Optimization
Signal processing
Stochastic systems
Detectors
Permalink
http://hdl.handle.net/11693/28619Published Version (Please cite this version)
http://dx.doi.org/10.1109/ICSPCS.2009.5306435Collections
Related items
Showing items related by title, author, creator and subject.
-
Stochastic resonance in binary composite hypothesis-testing problems in the Neyman-Pearson framework
Bayram, S.; Gezici, Sinan (Elsevier, 2012-02-20)Performance of some suboptimal detectors can be enhanced by adding independent noise to their inputs via the stochastic resonance (SR) effect. In this paper, the effects of SR are studied for binary composite hypothesis-testing ... -
On the restricted Neyman-Pearson approach for composite hypothesis-testing in presence of prior distribution uncertainty
Bayram, S.; Gezici, Sinan (IEEE, 2011)The restricted Neyman–Pearson (NP) approach is studied for composite hypothesis-testing problems in the presence of uncertainty in the prior probability distribution under the alternative hypothesis. A restricted NP ... -
Noise enhanced M-ary composite hypothesis-testing in the presence of partial prior information
Bayram, S.; Gezici, Sinan (IEEE, 2010-12-06)In this correspondence, noise enhanced detection is studied for M-ary composite hypothesis-testing problems in the presence of partial prior information. Optimal additive noise is obtained according to two criteria, which ...