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Distributed inference has applications in fields as varied as source localization, evaluation of network quality, and remote monitoring of wildlife habitats. In this dissertation, distributed inference algorithms over multiple-access channels

Distributed inference has applications in fields as varied as source localization, evaluation of network quality, and remote monitoring of wildlife habitats. In this dissertation, distributed inference algorithms over multiple-access channels are considered. The performance of these algorithms and the effects of wireless communication channels on the performance are studied. In a first class of problems, distributed inference over fading Gaussian multiple-access channels with amplify-and-forward is considered.

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    Date Created
    • 2010
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  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2010
      Note type
      thesis
    • Includes bibliographical references (p. 106-118)
      Note type
      bibliography
    • Field of study: Electrical engineering

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    Mahesh Krishna Banavar

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