One-Step Memory Nonlinearities for Signal Detection and Discrimination from Correlated Observations

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dc.contributor.authorSauder, D.en_US
dc.contributor.authorGeraniotis, Evaggelos A.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:50:33Z
dc.date.available2007-05-23T09:50:33Z
dc.date.issued1992en_US
dc.description.abstractNew detectors employing test statistics which are formed by passing pairs of consecutive observations through one-step memory nonlinearities g(x, y) and summing the resulting terms are introduced. Problems of discrimination between two arbitrary stationary m-dependent or mixing noise are considered in this context. For each problem, the nonlinearity g is optimized for performance criteria, such as the generalized signal-to-noise ratio and the efficacy and is obtained as the solution to an appropriate linear integral equation. Moreover, the schemes considered can be robustified to statistical uncertainties determined by 2-alternating capacity classes, for the second- order joint pdfs of the observations, and by bounds on the correlation coefficients of time-shifts of the observation sequence, for the third - and fourth-order joint pdfs. Evaluation of the performance of the new schemes via simulation reveals significant gains over that of detectors employing memoryless nonlinearities or the i.i.d. nonlinearity.en_US
dc.format.extent1031758 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5223
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1992-41en_US
dc.subjectdetectionen_US
dc.subjectrobust information processingen_US
dc.subjectsignal processingen_US
dc.subjectCommunication en_US
dc.subjectSignal Processing Systemsen_US
dc.titleOne-Step Memory Nonlinearities for Signal Detection and Discrimination from Correlated Observationsen_US
dc.typeTechnical Reporten_US

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