Description
Distributed inference has applications in a wide range of fields such as source localization, target detection, environment monitoring, and healthcare. In this dissertation, distributed inference schemes which use bounded transmit power are considered. The performance of the proposed schemes are studied for a variety of inference problems.
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Contributors
- Dasarathan, Sivaraman (Author)
- Tepedelenlioğlu, Cihan (Thesis advisor)
- Papandreou-Suppappola, Antonia (Committee member)
- Reisslein, Martin (Committee member)
- Goryll, Michael (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
Subjects
- Electrical Engineering
- Distributed Detection
- Multiple Access Channel
- Constant Modulus
- Deflection Coefficient
- Error Exponent
- Distributed Consensus
- Sensor Networks
- Bounded Transmissions
- Asymptotic Covariance
- Stochastic approximation
- Markov Processes.
- Sensor Networks
- Wireless communication systems
- Gaussian distribution
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Note
- Partial requirement for: Ph.D., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 147-160)Note typebibliography
- Field of study: Electrical engineering
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by Sivaraman Dasarathan