Stochastic signal detection in nearly-Gaussian noise using moment detectors

DOI10.1016/0016-0032(92)90045-IzbMath0761.93070OpenAlexW2043249276MaRDI QIDQ1188039

S. Singh

Publication date: 3 August 1992

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0016-0032(92)90045-i

zbMATH Keywords

Gram-Charlier seriesdetection of stochastic signalsNeyman-Pearson optimal detectors

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Related Items (1)

On the linear combination, product and ratio of normal and Laplace random variables

Cites Work

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• Discrete time robust detection of stochastic signals in non-Gaussian contaminated noise
• On Gaussian-like densities of order greater than two
• Detector relative efficiency analysis in non-Gaussian noise
• Maximum likelihood estimation of mixture constants and locally optimal detection of contaminants
• Signal detection in nearly Gaussian skewed noise
• Approximate likelihood ratio detectors for linear processes
• Robust Estimation of a Location Parameter
• A series technique for the optimum detection of stochastic signals in noise

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