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      Optimal stochastic signal design and detector randomization in the Neyman-Pearson framework

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      Author
      Dülek, Berkan
      Gezici, Sinan
      Date
      2012-03
      Source Title
      37th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012
      Print ISSN
      15206149
      Publisher
      IEEE
      Pages
      3025 - 3028
      Language
      English
      Type
      Conference Paper
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      Abstract
      Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector randomization factors is performed. It is shown that the solution to the most generic optimization problem that employs both stochastic signaling and detector randomization can be obtained as the randomization among no more than three Neyman-Pearson (NP) decision rules corresponding to three deterministic signal vectors. Numerical examples are also presented. © 2012 IEEE.
      Keywords
      Detection
      Detector randomization
      Neyman-Pearson
      Stochastic signaling
      Communications systems
      Decision rules
      Deterministic signals
      Generic optimization
      Numerical example
      Optimal design
      Stochastic signals
      Detectors
      Error detection
      Optimization
      Signal processing
      Stochastic systems
      Random processes
      Permalink
      http://hdl.handle.net/11693/28154
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICASSP.2012.6288552
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      • Department of Electrical and Electronics Engineering 3339

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