Effects of additional independent noise in binary composite hypothesis-testing problems
3rd International Conference on Signal Processing and Communication Systems, ICSPCS'2009 - Proceedings
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28619
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.
- Conference Paper 
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, S. (2012)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, S. (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 decision ...
Bayram, S.; Gultekin, S.; Gezici, S. (2012)Noise enhanced detection is studied for binary composite hypothesis-testing problems in the presence of prior information uncertainty. The restricted Neyman-Pearson (NP) framework is considered, and a formulation is obtained ...