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 20 of 21 for “"Distributed detection"”.
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Optimal Inference for Distributed Detection
<p>In distributed detection, there does not exist an automatic way of generating optimal decision strategies for non-affine decision functions. Consequently, in a detection problem based on a non-affine decision function, establishing optimality of a given decision strategy, such as a generalized …
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Distributed detection with selective communications
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
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Distributed detection and coding in information networks
This thesis investigates the distributed information and detection of a binary source through a parallel system of relays. Each relay observes the source output through a noisy channel, and the channel outputs are independent conditional on the source input. The relays forward limited information …
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Cooperative communication and distributed detection in wireless sensor networks
… considers the use of a chain network for the detection of fires by using nodes that have a double function of sensors and routers. The first one is relative to the monitoring of a temperature parameter that allows to take a local binary decision of target (fire) absent/present. The second one …
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Analysis of a two-sensor tandem distributed detection network
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
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Aggregation and influence in teams of imperfect decision makers
… agents use imperfect prior probabilities. Three detection models with multiple agents are investigated: distributed detection with symmetric fusion, sequential detection with social learning, and distributed detection with symmetric fusion and social learning. In the distributed detection with …
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Common Information and Decentralized Inference with Dependent Observations
… a more general condition under which the distributed detection problem becomes tractable, thereby broadening the classes of distributed detection problems with dependent observations that can be readily solved.</p> <p>We then develop the sufficiency principle for data reduction for …
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Cooperative Detection and Network Coding in Wireless Networks
… communications, namely: (i) cooperative distributed detection in wireless sensor networks, and (ii) many-to-many communications via cooperative space-time network coding. The first application of cooperative communications presented in this dissertation is concerned with the analysis and …
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Distributed coordination in network information theory
… very little about efficient communication in a distributed environment. In distributed wireless networks, there appears to be an interesting and complex trade-off between trying to take advantage of independent noisy signals at different relays and closely coordinating relay transmissions to a …
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High Resolution Distributed Sensing Using Exposed-Core Fibres
Distributed fibre sensors were proposed more than 40 years ago, with their primary applications in physical sensing for civil infrastructure monitoring. Based on optical frequency domain reflectometry (OFDR), this thesis extends distributed sensing to biomedical applications, with a focus on the …
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Iterative Detection and Decoding for Wireless Communications
… solve two categories of problems: the detection of turbo codes over time-varying channels, and the distributed detection of coded multiple-access signals. Because turbo codes operate at low signal-to-noise ratios, the process of phase estimation and tracking becomes difficult to …
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Graph-theoretic Approach To Modeling Propagation And Control Of Network Worms
… a worm employing local strategies, (3) Devising distributed architecture and algorithms for detection of worm scanning activities, (4) Designing effective control strategies against the worm, and (5) Simulation of the developed models and strategies on large, scale-free graphs representing …
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ROBUST KULLBACK-LEIBLER DIVERGENCE AND ITS APPLICATIONS IN UNIVERSAL HYPOTHESIS TESTING AND DEVIATION DETECTION
… of the robust KL divergence is in deviation detection: the problem of detecting deviation from a nominal distribution using a sequence of independent and identically distributed observations. An asymptotically -optimal detector is then developed for deviation detection where the Levy metric …
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Quantized Consensus by the Alternating Direction Method of Multipliers: Algorithms and Applications
… compute the global average of agents' data in a distributed manner. Much recent attention has been devoted to quantized consensus, where, due to practical constraints, only quantized communications are allowed between neighboring nodes in order to achieve the average consensus. This dissertation …
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A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing
Detection and identification of important biological targets, such as DNA, proteins, and diseased human cells are crucial for early diagnosis and prognosis. The key to discriminate healthy cells from the diseased cells is the biophysical properties that differ radically. Micro and nanosystems, such …
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Copula-based Multimodal Data Fusion for Inference with Dependent Observations
… to characterize this dependence.</p> <p>In distributed detection, the goal often is to minimize the probability of detection error at the fusion center (FC) based on a fixed number of observations collected by the sensors. We design optimal detection algorithms at the FC using a regular vine …
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Analysis of Wireless Networks With Massive Connectivity
… of the thesis, we focus on the joint activity detection and channel estimation in cell-free massive MIMO systems with massive connectivity. At first, we conduct an asymptotic analysis of single measurement vector (SMV) based minimum mean square error (MMSE) estimation in cell-free massive MIMO …
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Distributed Inference and Learning with Byzantine Data
… an active area of research in the</p> <p>past, distributed learning and inference in a networked setup with potentially unreliable components</p> <p>has only gained attention recently. The emergence of big and dirty data era demands new</p> <p>distributed learning and inference solutions to …
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Classification and Parameter Estimation of Asynchronously Received PSK/QAM Modulated Signals in Flat-Fading Channels
… Finally, in the third research thrust, a distributed spectrum sensing approach is proposed in which a network of radios collaboratively detects the presence, as well as the modulation scheme, of a signal through the use of a combination of cyclic spectrum feature-based signal …
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Balancing information mixing and optimality: a framework for robust and efficient distributed decision-making
… scalability, and plug-and-play operation, distributed decision-making is becoming increasingly vital. This thesis develops a comprehensive framework to address the challenges in distributed decision-making, focusing on distributed optimization and control of multi-agent networks. It …
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