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 12 of 12 for “"Source Estimation"”.
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Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation
… information processing for diffusive source parameter estimation using wireless sensor networks (WSNs) capable of sensing in dispersive medium/environment, from signal processing perspective. We begin the dissertation by focusing on the mathematical formulation of a special diffusion …
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Head movements of children in MEG : quantification, effects on source estimation, and compensation
… we examined the effects of head movements on source estimation in twenty children performing a simple auditory cognitive task. In addition, we tested the ability of a recently introduced spherical harmonic expansion method, signal space separation (SSS), to compensate for the effects of head …
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Spatio-temporal analysis in functional brain imaging
Localizing sources of activity from electroencephalography (EEG) and magnetoencephalography (MEG) measurements involves solving an ill-posed inverse problem, where infinitely many source distribution patterns can give rise to identical measurements. This thesis aims to improve the accuracy of …
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Algorithms on graph-structured data with imperfect information
… hypergraph-based active learning and source estimation on directed acyclic graphs (DAGs), all with provable statistical guarantees. In the first part of this thesis, we propose an active learning scheme which is able to accommodate the structure of hypergraphs, termed HS2. HS2 …
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Models and algorithms of brain connectivity, spatial sparsity, and temporal dynamics for the MEG/EEG inverse problem
… fast neural dynamics in humans. Localizing the sources of brain activity from MEG/EEG is an ill-posed inverse problem, with no unique solution in the absence of additional information. In this dissertation I analyze how solutions to the MEG/EEG inverse problem can be improved by including …
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An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures
… audio signal processing, the separation of source signals from musical mixtures when only a single mixture channel is available. Source separation is the process by which signals that correspond to distinct sources are identified in a signal mixture and extracted from it. Producing multiple …
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Design and Implementation of System Components for Radio Frequency Based Asset Tracking Devices to Enhance Location Based Services. Study of angle of arrival techniques, effects of mutual coupling, design of an angle of arrival algorithm, design of a novel miniature reconfigurable antenna optimised for wireless communication systems
The angle of arrival estimation of multiple sources plays a vital role in the field of array signal processing as MIMO systems can be employed at both the transmitter and the receiver end and the system capacity, reliability and throughput can be significantly increased by using array signal …
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NAPL (Non Aqueous Phase Liquid) source characterization based on dissolved contaminant concentrations
… frequently originates from spatially distributed sources of Non-Aqueous Phase Liquids (NAPLs). Such chemicals are typically persistent sources of groundwater contamination that are difficult to characterize. This work addresses the feasibility of using dissolved concentration measurements to …
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Seismic imaging of the lithosphere-asthenosphere boundary with a dense broadband array in central California
… deconvolution and an array-based spectral source estimation on the event data from an 18- month deployment of a high density array from the coast to the Sierra Nevada crossing the lateral location of the Isabella anomaly. Common conversion point (CCP) scattered wave imaging shows a strong …
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Rumor source identification, contagion processes, and dynamics of social network formation and evolution
… such flows. We examine the problem of rumor source identification in line graphs. As the size of the infected region grows arbitrarily large, we show that unlike the single source case, where the likelihood function concentrates near the midpoint of the infected region, the support of the …
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Uncovering Dynamic Semantic Networks in the Brain Using Novel Approaches for EEG/MEG Connectome Reconstruction
… theory and permutation-based statistics with source reconstructed Electro-/MagnetoEncephaloGraphy (EEG/MEG) data in order to track dynamic modulations of activity and connectivity within the semantic networks while a concept unfolds in the brain. Moreover, in order to obtain more accurate …
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Audio computing in the wild: frameworks for big data and small computers
… while spending the least possible amount of resources, such as time, energy, and memory. Examples of those applications, but not limited to, can be a large-scale multimedia information retrieval system where both queries and the items in the database are noisy signals; collaborative audio …