An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
On the use of stochastic resonance in sine detection
Signal Processing
Design of detectors based on stochastic resonance
Signal Processing
Stochastic resonance in noisy threshold neurons
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Convex Optimization
Wireless Communications
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Detection of weak signals using adaptive stochastic resonance
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
Evolutionary Computation
Optimal noise benefits in Neyman-Pearson and inequality-constrained statistical signal detection
IEEE Transactions on Signal Processing
Noise enhanced nonparametric detection
IEEE Transactions on Information Theory
Stochastic resonance and improvement by noise in optimal detection strategies
Digital Signal Processing
Noise enhanced hypothesis-testing in the restricted Bayesian framework
IEEE Transactions on Signal Processing
Noise Enhanced Parameter Estimation
IEEE Transactions on Signal Processing - Part II
Theory of the Stochastic Resonance Effect in Signal Detection—Part II: Variable Detectors
IEEE Transactions on Signal Processing - Part II
Stochastic resonance in locally optimal detectors
IEEE Transactions on Signal Processing
Noise Enhanced -ary Composite Hypothesis-Testing in the Presence of Partial Prior Information
IEEE Transactions on Signal Processing
Stochastic resonance in discrete time nonlinear AR(1) models
IEEE Transactions on Signal Processing
Theory of the Stochastic Resonance Effect in Signal Detection: Part I—Fixed Detectors
IEEE Transactions on Signal Processing - Part I
Noise-Enhanced Detection of Subthreshold Signals With Carbon Nanotubes
IEEE Transactions on Nanotechnology
Adaptive stochastic resonance in noisy neurons based on mutual information
IEEE Transactions on Neural Networks
IEEE Transactions on Signal Processing
Weak signal detection: Condition for noise induced enhancement
Digital Signal Processing
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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 problems. A Neyman-Pearson framework is considered, and the maximization of detection performance under a constraint on the maximum probability of false-alarm is studied. The detection performance is quantified in terms of the sum, the minimum, and the maximum of the detection probabilities corresponding to possible parameter values under the alternative hypothesis. Sufficient conditions under which detection performance can or cannot be improved are derived for each case. Also, statistical characterization of optimal additive noise is provided, and the resulting false-alarm probabilities and bounds on detection performance are investigated. In addition, optimization theoretic approaches to obtaining the probability distribution of optimal additive noise are discussed. Finally, a detection example is presented to investigate the theoretical results.