Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Decentralized Detection"”.
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Topics in decentralized detection
… we obtain several new results in the areas of decentralized sequential detection and robust decentralized detection.
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Problems in decentralized detection
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.
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Decentralized detection in sensor network architectures with feedback
We investigate a decentralized detection problem in which a set of sensors transmit a summary of their observations to a fusion center, which then decides which one of two hypotheses is true. The focus is on determining the value of feedback in improving performance in the regime of asymptotically …
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Decentralized detection in resource-limited sensor network architectures
We consider the problem of decentralized binary detection in a network consisting of a large number of nodes arranged as a tree of bounded height. We show that the error probability decays exponentially fast with the number of nodes under both a Neyman-Pearson criterion and a Bayesian criterion, …
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Solution of some problems in decentralized detection by a large number of sensors
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.
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PERFORMANCE OF COUNTING RULES FOR PRIMARY USER DETECTION
… rules with a very large number of sensors in decentralized detection problem shows that majority logic fusion rule has the same order of performance when compared to the best fusion rule based on the binary decisions received from the observing sensors in a network. In cognitive radio context, …
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Design of Sensor Networks for Detection Applications via Large -Deviation Theory
… of wireless sensor systems in the context of decentralized detection. Efforts are made to take into consideration the physical components of the communication channels and the structure of the observations available to the sensor nodes. It is found that high node density generally performs …
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Data Driven Nonparametric Detection
<p>The major goal of signal detection is to distinguish between hypotheses about the state of events based on observations. Typically, signal detection can be categorized into centralized detection, where all observed data are available for making decision, and decentralized detection, where only …
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Energy -Efficient Sensor Networks for Detection Applications
… be used in a wide variety of applications where detection is the primary step. Faced with tight constraints on energy, bandwidth, and other system resources, the new paradigm of decentralized detection under resource constraints has emerged. To address some of the system-level costs in a sensor …
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Decentralized Baseband Processing for Massive MU-MIMO Systems
… computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and beamforming in the downlink (base-station transmits to users). Most existing algorithms are designed to be executed on centralized computing hardware at the base-station (BS), which …
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Contemporary Approaches to Radar Detection: Robust Statistics, Reinforcement Learning, and Reconfigurable Intelligent Surfaces
Radar detection is one of the most fundamental problems in wireless signal processing and has been thoroughly studied for decades. As such, there is very well established theory for radar detection under a myriad of different system models; however, as the machine that is research continues to …
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Game theoretic analysis and design for network security
… theory for network security. We first examine decentralized detection problems with a finite number of sensors making conditionally correlated measurements regarding several hypotheses. Each sensor sends to a fusion center an integer from a finite alphabet, and the fusion center makes a …