Adaptive detection of known signals in additive noise by means of kernel density estimators

DOI10.1109/18.605583zbMATH Open0878.94030OpenAlexW2143472101MaRDI QIDQ4345615

Rolf T. Gustafsson, Tommy Öberg, Ola G. Hössjer

Publication date: 23 July 1997

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/e7d3eac7af319b5491afdce413beea137cc90577

zbMATH Keywords

error probabilitykernel estimateadditive noiseadaptive detectiontraining sequence

Mathematics Subject Classification ID

Detection theory in information and communication theory (94A13)

Related Items (3)

Asymptotically robust detection of known signals in nonadditive noise ⋮ Adaptive nonparametric locally optimum Bayes detection in additive non-Gaussian noise ⋮ On single-sample robust detection of known signals with additive unknown-mean amplitude-bounded random interference

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