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dc.contributor.authorSoğancı, Hamzaen_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialFlorence, Italy
dc.date.accessioned2016-02-08T12:03:37Z
dc.date.available2016-02-08T12:03:37Z
dc.date.issued2014- 05en_US
dc.identifier.urihttp://hdl.handle.net/11693/27875
dc.descriptionDate of Conference: 4-9 May 2014
dc.descriptionConference name: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.description.abstractIn this study, we consider performance improvement of an array of fixed estimators by using stochastic design techniques. The optimal design is investigated both in the absence and presence of an average power constraint. Two different performance criteria are considered; the average Bayes risk and the maximum Bayes risk. It is shown that the optimal stochastic parameter design results in a randomization between different numbers of parameter values depending on the type of the performance criterion. © 2014 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2014 IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICASSP.2014.6854685en_US
dc.subjectParameter estimationen_US
dc.subjectStochastic parameter designen_US
dc.subjectAverage poweren_US
dc.subjectBayes risken_US
dc.subjectEstimation problemen_US
dc.subjectMultiparametersen_US
dc.subjectOptimal designen_US
dc.subjectPerformance criterionen_US
dc.subjectStochastic designen_US
dc.subjectStochastic parametersen_US
dc.subjectSignal processingen_US
dc.titleOptimal stochastic design for multi-parameter estimation problemsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage5651en_US
dc.citation.epage5655en_US
dc.identifier.doi10.1109/ICASSP.2014.6854685en_US
dc.publisherIEEEen_US


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