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 68 for “"subsampling"”.
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Subsampling based inference for network data
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
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Efficient matrix computations via subsampling sketches
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01
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Security Sphere : radio frequency subsampling receiver
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2002.
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Analysis of Reliability Experiments with Random Blocks and Subsampling
… reliability experiments frequently contain subsampling which is a restriction on randomization. A typical experiment involves applying treatments to test stands, with several items placed on each test stand. In addition, raw materials used in experiments are often produced in batches. In …
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A subsampling delta-sigma modulator for global navigation satellite systems
… and cost by performing sub-Nyquist sampling (subsampling) at Radio Frequency (RF). In practice, the use of subsampling receivers has been limited due to their poor noise performance. This is particularly a concern in applications of Code Division Multiple Access (CDMA) such as GNSS since …
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Optical domain subsampling for data-efficient optical coherence tomography (OCT)
… This thesis introduces optical-domain subsampling as a method for increasing the imaging range while reducing the acquisition bandwidth. Optically subsampled lasers utilize a discrete set of wavelengths to alias fringe signals along an extended depth range into a bandwidth limited …
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New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection
… are then pooled into an overall consensus. Subsampling based methods repeatedly use minibatches of data to estimate quantities of interest. The third strategy is ‘sketching’, a probabilistic data compression technique developed in the computer science community. Sketching uses random …
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Statistical issues and developments in time series analysis and educational measurement
… its limiting distribution is not normal. The subsampling method of Hall, Lahiri and Jing (1998) produces a consistent estimator but involves consistent estimation of the variance of the normalized sample mean using one seemingly arbitrary tuning parameter. By adopting a self-normalization …
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Design and regression estimation in double sampling
… recommends the use of nonrandom, purposive subsampling plans. Both methods aim to reduce the mean squared errors of regression estimators in double sampling. A major criticism against the superpopulation model approach is its strong dependence on the correctness of the assumed model. Thus, …
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Using Passive Acoustic Monitoring to Estimate Bird Community Response to Land Management in Southeastern Georgia
… subsample. Abundance estimates decreased with subsampling, showing survey frequency arbitrarily influences estimates and RN models should be viewed as relative, not absolute, abundance estimates. However, the specific order of relative abundance across site treatments remained consistent for …
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Properties of composites sampling procedures
… and Fisher on modeling procedures that involve subsampling mixtures of sampled material. Models are developed for sampling from segmented or nonsegmented lots, allowing for more than one finite composite, testing error, within-increment variability, or two subsampling stages. The result of each …
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Laboratory studies on the feeding behaviour of juvenile Cape horse mackerel, Trachurus trachurus capensis
… natural zooplankton assemblages and sequential subsampling of water in the experimental tanks provided estimates of prey concentration. Video observations were used to examine feeding behaviour and to investigate the feeding response of horse mackerel to various food types and prey sizes.
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Development of a three-dimensional camera based on subsampled optical coherence tomography (OCT)
… high speed and long depth range imaging through subsampling bandwidth compression. We show that this requires replacing the conventional wavelength-swept OCT laser source with a wavelength-stepped laser. First we validated this concept by modifying a slow, conventional wavelength-swept source …
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Data-driven Techniques For Estimation And Stochastic Reduction Of Multiscale Systems
… estimator which is highly dependent on the subsampling time-step of the given data. There is no feasible solution to compute optimal subsampling time-step for consistent approximate Maximum Likelihood estimator. Next, we look at the moment estimator which is weakly dependent on subsampling …
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Orbital angular momentum encoding/decoding of 2D images for scalable multiview colour displays
… some of the 3D perceptions by projecting 2D subsampling of a 3D object. More 2D subsampling is required to project images with smoother parallax and more realistic sensation. As an additional degree of freedom with theoretically unlimited state space, orbital angular momentum (OAM) modes may …
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Efficient Sampling Methods for Forest Inventories and Growth Projections
… from plot- and stand-level aggregations, subsampling height for volume estimation, and updating stand projections using periodic inventories. A series of simulated loblolly pine plantations with varying degrees of spatial heterogeneity were generated at different stages in stand …
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Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion
… designed to incorporate the concepts of subsampling and locality in the definition of features to be used as the input of a perceptron. A locality-based confidence measure is used to weight the contribution of maximum-margin hyper-planes built by subsampling pairs of examples of opposite …
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Penalised regression for high-dimensional data: an empirical investigation and improvements via ensemble learning
… both steps, we reduce dimensionality by repeated subsampling of variables. We apply a penalised regression method to each subsampled dataset and average the results. In the first step, subsampling is informed by variable correlation structure, and in the second step, by variable importance …
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Fundamental representations of regions and interactions in spatial transcriptomics
… introduce a minimal but powerful modification: subsampling within each neighborhood prior to averaging. This approach enhances spatial feature resolution and generalizes conventional analyses to spatial features: clustering identifies multicellular regions; data integration aligns spatial …
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