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 35 for “"Detection and Estimation"”.
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Detection and estimation of quantum channel capacities
… the subject of quantum channel capacities and is composed of two parts. 1. Detecting positive quantum capacities of quantum channels Determining whether a noisy quantum channel can be used to reliably transmit qubits at a non-zero rate is a challenging problem, since it requires computation …
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A Turbo Approach to Distributed Acoustic Detection and Estimation
… a platform for accurately comparing current and future data fusion theories. This thesis proposes a simulator model for testing fusion theories for these acoustic multi-sensor networks. An iterative, lossless data fusion algorithm was presented as the model for simulation development. The …
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Detection and estimation of objects from noisy projection measurements
… of Technology, Dept. of Electrical Engineering and Computer Science, 1983.
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Changepoint detection and estimation for spatially indexed functional time series
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01
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Reconstruction from projections based on detection and estimation of objects
… of Technology, Dept. of Electrical Engineering and Computer Science, 1982.
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Compressive Detection and Estimation with Applications to Cognitive Radio and Radar
According to Nyquist Sampling theorem, a band-limited signal can be reconstructed accurately if the sampling rate exceeds twice the maximum frequency of the signal. In many scenarios, this Nyquist sampling rate cannot be achieved due to hardware limitations. Compressive sensing (CS) is a technique …
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Change Point Detection and Estimation in Sequences of Dependent Random Variables
<p>Two change point detection and estimation procedures for sequences of dependent binary random variables are proposed and their asymptotic properties are explored. The two procedures are a dependent cumulative sum statistic (DCUSUM) and a dependent likelihood ratio test (LRT) statistic, which are …
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Melt Detection and Estimation in Greenland Using Tandem QuikSCAT and SeaWinds Scatterometers
Ku-band dual-polarization radar backscatter measurements from the SeaWinds on QuikScat (QuikScat) and SeaWinds on ADEOS-2 (SeaWinds) scatterometers are used to classify the melt state and estimate melt severity in Greenland. Backscatter measurements are organized into high temporal and high spatial …
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Signal detection in fractional Gaussian noise and an RKHS approach to robust detection and estimation
… parts. In the first part, the problem of signal detection in fractional Gaussian noise is considered. To facilitate the study of this problem, several results related to the reproducing kernel Hilbert space of fractional Brownian motion are presented. In particular, this reproducing kernel …
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A variance shilf model for outlier detection and estimation in linear and linear mixed models
… equipment. Often outliers are quickly identified and addressed, that is, corrected, removed from the data, or retained for subsequent analysis. However, in many cases they are completely anomalous and it is unclear how to treat them. Case deletion techniques are established methods in detecting …
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A variance shift model for outlier detection and estimation in linear and linear mixed models
… equipment. Often outliers are quickly identified and addressed, that is, corrected, removed from the data, or retained for subsequent analysis. However, in many cases they are completely anomalous and it is unclear how to treat them. Case deletion techniques are established methods in detecting …
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Sampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA model
… difficult or impossible to compute analytically and are widely used in many areas of statistical applications, such as bioinformatics and psychometrics. This thesis develops several sampling algorithms to address open issues in network analysis and educational assessments. The first problem we …
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Computation of Suitable Grasp Pose for Usage of Objects Based on Predefined Training and Real-time Pose Estimation
… system captures the relative poses of an object and a robot's wrist for training such that when the object's pose changes, the robot's gripper attached to the wrist adjusts its pose accordingly and lines up with the object. For detecting the objects and estimating their poses, we developed and …
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Topics in Genomic Signal Processing
Genomic information is digital in its nature and admits mathematical modeling in order to gain biological knowledge. This dissertation focuses on the development and application of detection and estimation theories for solving problems in genomics by describing biological problems in mathematical …
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A procedure for the estimation of total radioactivity in water
… truck, equipped with radiation counters and meters, but containing only the simplest of chemical equipment. One of their main problems will be the determination of the total amount of radioactive material, especially fallout of fission products, in a water sample. As yet no method of …
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Multi-Satellite Remote Sensing of Land-Atmosphere Interactions: Advanced Data-Driven Methodologies for Passive Microwave Retrievals of Flood and Precipitation
… ago, as new satellites have been launched and planned. However, the past quarter-century of outstanding progress in the fundamental technology of remote sensing has not translated into comparable advances in remote sensing of the water cycle. First, this dissertation presents a …
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Annotation-Free Deep Learning of Large-Scale Nuclear Segmentation and Spatial Neighborhood Analysis on Multiplexed Fluorescence Images
… state-of-the-art performance for cell nucleus detection and segmentation. However, they require many manual annotations from skilled biologists for robust algorithm training, which is labor-intensive and not easily scalable. We propose an unsupervised expectation driving pipeline for Brain Cell …
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Performance Analysis Of Active and Passive Multi-Array Sonar Networks
… in networked arrays. MATLAB models these arrays and simulates the results these networks obtain using active and passive sonar. These results determine the ideal sensor placement for optimal parameter detection and estimation of targets. This work's first part focuses on active sonar networks …
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Optimal Design of Single Factor cDNA Microarray experiments and Mixed Models for Gene Expression Data
… gene expression profiling on a large scale. E- and A-optimality of mixed designs was established for experiments with up to 26 different varieties and with the restriction that the number of arrays available is equal to the number of varieties. Because the IBD setting only allows for a single …
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