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 24 for “"higher-order statistics"”.
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Parameter Identification of Nonlinear Systems Using Perturbation Methods and Higher-Order Statistics
… that combines the method of multiple scales and higher-order statistics to efficiently and accurately model nonlinear systems. A theoretical background for the method of multiple scales and higher-order statistics is given. Validation of the procedure is performed through applying it to numerical …
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Appearance based object recognition using independent component analysis
… in which features based on only second order statistics are not sufficient. To take into account higher order statistics, Independent Component Analysis (ICA) has been proposed. This thesis presents results on appearance based 3-dimensional object recognition accomplished by using ICA. …
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Design of and Decentralized Path Planning for Platoons of Miniature Autonomous Underwater Vehicles
… a sufficient condition on platoon commands in order for a low-bandwidth decentralized controller to exist. Knowing from this sufficient condition the necessary general form of platoon commands, a number of higher-order statistics were tested. This thesis describes and analyzes their utility as …
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Speech perception in a sparse domain
Environmental statistics are known to be important factors shaping our perceptual system. The visual and auditory systems have evolved to be efficient for processing natural images or speech. The common characteristics between natural images and speech are that they are both highly structured, …
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Text-independent speaker recognition
… show that use of ICA enabled extraction of higher order statistics thereby capturing speaker dependent statistical cues in a text-independent recognition system. The results show that ICA has a better de-correlation and dimension reduction property than PCA. To simulate a multi environment …
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Comparison of Machine Learning-Based Methods for Narrowband Blind Adaptive Beamforming
… as constant envelope properties or second or higher order statistics. Traditional blind source separation methods such as CMA, SOBI, JADE, and FastICA tend to be highly effective at beamforming datasets with moderate to large sample supports, but they do not perform well when they only have …
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Study of the atmospheric boundary layer processes over sloping terrain covered by sparse canopy
… are first performed in laboratory in order to calibrate flux sensors (i.e., ultrasonic anemometers), and subsequently into three N-W Italy vineyards fields, collecting long term turbulent flux observations over the canopy. Bulk and higher order statistics are explored from these …
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Unveiling Roadway Network Safety: Application of Statistical Physics to Crowdsourced Velocity Data
… within the country. Despite these alarming statistics, understanding the overarching patterns of traffic safety presents a complex challenge due to myriad influencing factors such as driver behavior, roadway network geometry, weather conditions, and vehicle design. This study revisits …
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Perceptual texture similarity estimation
… derived ground-truth data, both of which are higher resolution than those commonly used. The first was obtained by free-grouping and the second by pair-of-pairs experiments. Using these higher resolution data, we found that the feature sets do not perform well when compared to human …
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Acoustic scattering analysis for remote sensing of manganese nodules
… of the configurational average is introduced in order to obtain the average scattered response. The size averaging is found to be able to smooth the acoustic response in the high frequency region. The plane wave analysis for the multiple scattering problem is justified by the narrow beam …
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The power spectrum and bispectrum of inflation and cosmic defects
… in the distribution of primordial perturbations. Higher order statistics, such as the bispectrum, are required to test and constrain such models. The late-time distribution of matter in the Universe - large-scale structure (LSS) - contains much more information than the CMB that has not yet been …
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Advancing the Matter Bispectrum Estimation in Large-Scale Structure
… Background (CMB) experiments such as Planck. Higher-order statistics, like the three-point correlation function or bispectrum in Fourier space, will be indispensable for furthering our understanding of the Universe. While these methodologies have been developed over the years and applied to …
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Automatic 2D-to-3D conversion of single low depth-of-field images
… through the correlation of edge, gradient and higher-order statistics (HOS) saliencies. Refinement of the ROI is performed using k-means segmentation and CIEDE2000 colour-difference matching. Subsequently the OOI is extracted from within the ROI through analysis of the dominant gradients and …
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Wavelet Analysis of Extreme Wind Loads on Low-Rise Structures
Over the past thirty years, extensive research has been conducted with the objective of reducing wind damage to structures. Wind tunnel simulations of wind loads have been the major source of building codes. However, a simple comparison of pressure coefficients measured in wind tunnel simulations …
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Identifiability for latent class models
… on the existence of certain anchor words or on higher order statistics of the data. We derive a new set of identifiability conditions from convex geometry, which are weaker than the conditions from prior work. In addition, we study estimation consistency and establish the convergence rate for …
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Radiomic Analysis of Sonograms for the Detection of Tendon Damage
… tendon US images appear darker and more disordered. One drawback to previous in vivo studies, however, is the large variation of higher order statistics between US images, likely due to changes in ultrasound transducer operation or patient positioning. To circumvent these limitations, …
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Online partial discharge detection and signal analysis for high voltage cables
… wavelet-based algorithm combined with the use of Higher Order Statistics is presented. This algorithm enables the simplification of data signals to highlight potential PD activity resulting in the reduction of manual examination of wavelet algorithms. The conventional wavelet algorithms applied in …
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Investor sentiment and statistical moments of the return distribution in the German stock market. A three stage empirical analysis.
… between investor sentiment and the lower- and higher-order statistics of the return distribution in the German stock market utilizing the market-wide CDAX stock index as an exemplary sample. Since empirical studies on investor sentiment are conducted mainly with USmarket-based data, …
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Statistical Analysis of Wireless Systems Using Markov Models
… to reproducing and/or forecasting channel statistics accurately. Although the parameter estimation of Markov processes has been studied extensively, its order estimation problem has been addressed only recently. In this report, we investigate the existing order estimation techniques for …
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Electromagnetic Vector-Sensor Direction-of-Arrival Estimation in the Presence of Interference
… cyclostationarity and the other based on fourth-order cumulants, are formulated based on the UVS-ESPRIT algorithm and are capable of selectively estimating the source DOA in the presence of interference based on the statistical properties of the sources. The cyclostationarity-based UVS-ESPRIT …
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