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Noise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion
(Academic Press, 2014)
Noise enhanced hypothesis-testing is studied according to the restricted Neyman-Pearson (NP) criterion. First, a problem formulation is presented for obtaining the optimal probability distribution of additive noise in the ...
Noise benefits in joint detection and estimation problems
(Elsevier, 2016)
Adding noise to inputs of some suboptimal detectors or estimators can improve their performance under certain conditions. In the literature, noise benefits have been studied for detection and estimation systems separately. ...
Optimal signaling and detector design for M-ary communication systems in the presence of multiple additive noise channels
(Academic Press, 2014-03)
An M-ary communication system is considered in which the transmitter and the receiver are connected via multiple additive (possibly non-Gaussian) noise channels, any one of which can be utilized for the transmission of a ...
Joint detection and decoding in the presence of prior information with uncertainty
(Institute of Electrical and Electronics Engineers Inc., 2016)
An optimal decision framework is proposed for joint detection and decoding when the prior information is available with some uncertainty. The proposed framework provides tradeoffs between the average inclusive error ...
Noise enhanced detection in the restricted Bayesian framework
(IEEE, 2010)
Effects of additive independent noise are investigated for sub-optimal detectors according to the restricted Bayes criterion. The statistics of optimal additive noise are characterized. Also, sufficient conditions for ...
Optimal stochastic signal design and detector randomization in the Neyman-Pearson framework
(IEEE, 2012-03)
Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector ...
On the improvability and nonimprovability of detection via additional independent noise
(IEEE, 2009-07-28)
Addition of independent noise to measurements
can improve performance of some suboptimal detectors under
certain conditions. In this letter, sufficient conditions under which
the performance of a suboptimal detector cannot ...
Spectrum sensing via restricted neyman-pearson approach in the presence of non-Gaussian noise
(IEEE, 2013)
In this paper, spectrum sensing in cognitive radio systems is studied for non-Gaussian channels in the presence of prior distribution uncertainty. In most practical cases, some amount of prior information about signals of ...
Optimum Power Allocation for Average Power Constrained Jammers in the Presense of Non-Gaussian Noise
(Institute of Electrical and Electronics Engineers, 2012-08)
We study the problem of determining the optimum
power allocation policy for an average power constrained jammer operating over an arbitrary additive noise channel, where the aim
is to minimize the detection probability of ...
Optimal stochastic signaling for power-constrained binary communications systems
(IEEE, 2010)
Optimal stochastic signaling is studied under second and fourth moment constraints for the detection of scalar-valued binary signals in additive noise channels. Sufficient conditions are obtained to specify when the use ...