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 1623 for “"compressive"”.
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Compressive Sensing
… overview of certain key elements in the area of compressive sensing. As a sub-discipline of signal processing, compressive sensing is concerned with both sampling and reconstruction techniques. In this expository, sampling will center on random matrices and expander graphs, while reconstruction …
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Compressive phase retrieval
… the ability of localizing each particles using compressive reconstruction method is studied. When a thin sample is illuminated with partially coherent waves, the transport of intensity phase retrieval method is shown to be eective to recover the optical path length of the sample and remove the …
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Compressive super-localization
… an under-sampling problem. In this thesis, a compressive holography algorithm is proposed to localize smaller than pixel size motion. 1/45 sub-pixel motion has been successfully detected. For axial localization problems, the localization accuracy will be affected not only by the pixel size and …
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Some Notes on Compressive Sensing
… problem is how we can store this amount of data. Compressive sensing is giving us a clue about how we can reconstruct images and signals from frequency data, by having less samples compared to the conventional ways of data acquisition, which somehow helps us with the storage problem and gives us …
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GPU-based Compressive Volume Rendering
… This dissertation will show how using GPUs and compressive rendering will optimize the performance of a volume renderer.
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Compressive crippling of structural sections
A method is presented for the calculation of the crippling stress of structural sections as a function of material properties and the proportions of the section. The presence of formed or anisotropic material is accounted for by the use of an effective stress-strain curve in defining the material …
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A Cognitive Radio Compressive Sensing Framework
… timing requirements and high sampling rates. Compressive sensing (CS) has emerged as a novel sampling paradigm, which provides the theoretical basis to resolve some of these issues, especially for signals exhibiting sparsity in some domain. For CR-related signals however, existing CS …
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Compressive Measurement of Spread Spectrum Signals
… sampling. Recently, a novel concept called compressive sensing has emerged. Compressive sensing theory suggests that a signal can be reconstructed from much fewer measurements than suggested by the Shannon Nyquist theorem, provided that the signal can be sparsely represented in a dictionary. …
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Compressive Instabilities in Metal-coated Polymer Microtrusses
Lightweight structures directly contribute to the sustainability of aviation, as their use reduces the structural weight of aircraft which in turn reduces fuel burned during flight. One family of lightweight structures are metal-coated polymers. Hybrid polymer-nanometal microtrusses are a member of …
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Compressive sensing based imaging via belief propagation
Multiple description coding (MDC) using Compressive Sensing (CS) mainly aims at restoring an image from a small subset of samples with reasonable accuracy using an iterative message passing decoding algorithm commonly known as Belief Propagation (BP). The CS technique can accurately recover any …
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Compressive Behavior of Simulated Explosive-Filled Composites
Historically, adhesion research related to energetic materials has been focused on examining the interaction between explosive crystals and the substrate of interest. However, this neglects the effects of the binder material in compounds such as Composition C-4. These types of explosives are …
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Compressive sensor networks : fundamental limits and algorithms
… we explore the limits of performance of compressive sensor networks in relation to fundamental operations such as quantization and parameter estimation. Since compressed sensing is originally formulated as a real-valued problem, quantization of the measurements is a very natural …
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A compressive sensing algorithm for attitude determination
We propose a framework for compressive sensing of images with local distinguishable objects, such as stars, and apply it to solve a problem in celestial navigation. Specifically, let x [epsilon] RN be an N-pixel image, consisting of a small number of local distinguishable objects plus noise. Our …
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Compressive gait biometric with wireless distributed pyroelectric sensors
… attribution. (2) sensing protocols, different compressive measurement functions are provided for accomplishing the central task of compressive sensing protocol - choosing a proper scheme of the random projection encoding. (3) processing architecture, different levels of fusion schemes performed …
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Compressive strength prediction for composite unmanned aerial vehicles
… rational methodology is presented to predict the compressive strength of carbon/epoxy compression specimens and prototype production parts using the model presented by Barbero in the Journal of Composite Materials, Vol. 32, No.5/1998. The experimental technique is an adaptation of the optical …
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Attainable Compressive Strength Of Pervious Concrete Paving Systems
… strength of the system not only relies on the compressive strength of the pervious concrete but also on the strength of the soil beneath it for support. Previous studies indicate that pervious concrete has lower compressive strength capabilities than conventional concrete and will only support …
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Compressive Sensing in Positron Emission Tomography (PET) Imaging
… this thesis , a mathematical technique known as compressive sensing is applied in an effort to decrease the number of detectors required, while maintaining good image quality. A CS model was developed based on a combination of gradient magnitude and wavelet domains to recover missing observations …
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