Bayram, SuatGezici, Sinan2016-02-082016-02-082009-09http://hdl.handle.net/11693/28619Date of Conference: 28-30 Sept. 2009Conference name: 3rd International Conference on Signal Processing and Communication Systems, 2009Performance 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.EnglishBinary hypothesis-testingComposite hypothesis-testingNeyman-pearsonStochastic resonanceBinary compositesBinary hypothesis-testingComposite hypothesisComposite hypothesis-testingGeneralized neyman-pearsonIndependent noiseLower limitsOptimization techniquesSimulation resultStatistical characterizationStochastic resonancesSufficient conditionsTheoretical resultCircuit resonanceCommunication systemsMagnetic resonanceOptimizationSignal processingStochastic systemsDetectorsConference Paper10.1109/ICSPCS.2009.5306435