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 40 for “"Signal Recovery"”.
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Advances in sparse signal recovery methods
… of data is ubiquitous; it has applications in signal acquisition, data compression, sub-linear space algorithms, etc. In this thesis we focus on sparse recovery, where the goal is to recover sparse vectors exactly, and to approximately recover nearly-sparse vectors. More precisely, from the …
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Signal recovery using cepstral smoothing in the shallow water environment
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Satellite borne radar altimetry : empirical orbit refinement and ocean signal recovery techniques
… with a view to identifying the extent of any signal aliasing: either by removal of long wavelength ocean signals or introduction of additional error signals. From these studies, it was concluded that sinusoidal approximation of the dominant one cycle per revolution orbit error over arc lengths …
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Inertial iterative thresholding with applications to sparse and low-rank signal recovery
… various optimization problems that arise in signal processing, inverse problems, pattern recognition and other related fields. One such problem of great interest is compressed sensing, where the goal is to recover a signal that is known to be sparse from fewer linear measurements than the …
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High resolution signal and image recovery: Fast algorithms and analysis
… dissertation we address three issues arising in signal recovery problems: developing fast and efficient algorithms for convex set constrained signal recovery, analyzing resolution limits in signal recovery algorithms, and developing new regularization techniques for reducing the ill effects of …
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Phase Retrieval of Sparse Signals from Magnitude Information
The ability to recover the phase information of a signal of interest from a measurement process plays an important role in many practical applications. When only the Fourier transform magnitude of the signal is recorded, recovering the complete signal from these nonlinear measurements turns into a …
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Geometric Conditions for the Recovery of Sparse Signals on Graphs from Measurements Generated with Heat Kernels
This dissertation establishes results on signal recovery for graphs, when the signals are functions with small support and what is observed is a noisy version of the signal smoothed by evolving it under the heat equation governed by the graph Laplacian. The results discussed here are in close …
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Robustness and generalization guarantees for statistical learning of generative models
… processes with ideas from optimal transport and signal recovery, we formally address the generalization and robustness guarantees for the existing and newly suggested algorithms. More specifically, we consider the following three problems: First, we tackle the problem of domain adaptation, where …
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Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
… methods for calibration have used training signals or expensive circuitry to overcome these problems. In this work, we investigate alternative approaches for signal recovery. In particular, we develop blind calibration techniques that focus on the estimation of the associated unknown gain …
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Signal generation and evaluation using Digital-to-Analog Converter and Signal Defined Radio
… systems, Digital-to-Analog Converters (DAC), Signal Defined Radio (SDR) signal creation, and clock data recovery are essential components. DACs convert digital signals to analog signals, creating continuous waveforms. DACs provide versatility in the transmission of SDR by supporting a range of …
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THE EFFECTS OF SOCIAL STRESS AND PRIOR ETHANOL EXPOSURE ON DOPAMINE IN THE RAT BRAIN
… can influence neurobiology and neurotransmitter signaling independently and have interacting effects. Their actions on the mesolimbic and nigrostriatal dopaminergic pathways of the central nervous system have been the focus of research but until recently not often viewed within the same model or …
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Decentralized signal processing systems with conservation principles
… algorithms realized as asynchronous, distributed signal processing systems is developed with an emphasis on the system's stability, robustness, and variational properties. These systems are formed by connecting basic modules together via interconnecting networks. Several classes of systems are …
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Super Greedy Type Algorithms and Applications In Compressed Sensing
… serves as one of the fundamental tools in sparse signal recovery. Using the super-greedy idea, we build new recovery algorithms in Compressed Sensing (CS) which are Orthogonal Multi Matching Pursuit (OMMP) and Orthogonal Multi Matching Pursuit with Thresholding Pruning (OMMPTP). The performances …
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Image super-resolution via sparse representation
… super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be well represented as a sparse linear combination of elements from an appropriately chosen over-complete dictionary. Inspired by this observation, we seek a sparse …
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Computational time-resolved imaging
… and time-resolved sensing along with signal modeling and computational reconstruction. Its purpose is to create new imaging modalities, and to demonstrate high-quality imaging in cases in which traditional techniques fail to even form degraded imagery. The principal contributions in …
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Graphical models and message passing receivers for interference limited communication systems
… approximate message passing, and sparse signal recovery for joint channel/interference estimation and data decoding. The resulting receivers provide huge improvements in communication performance (more than 10dB) over the conventional receivers at a comparable computational complexity. …
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Power Transformer Partial Discharge (PD) Acoustic Signal Detection using Fiber Sensors and Wavelet Analysis, Modeling, and Simulation
… The second part of this thesis focuses on the PD signal analysis from an on-site PD measurement of the in-house design fiber optic sensors (by Virginia Tech, Center for Photonics Technology). Several commercial piezoelectric transducers (PZTs) were also used to compare the measurement results. The …
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Generative modeling of the tumor microenvironment : deconvolution, completion, and integration
… deconvolution, where each observation mixes signals from multiple cells; completion, where important channels or sequences are missing; and integration, where complementary modalities are measured on adjacent sections without direct correspondence. Existing methods typically address these …
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In pursuit of high resolution radar using pursuit algorithms
… employ matched filters designed to maximize signal to noise ratio (SNR) in a single target environment. In a multi-target environment, however, matched filter estimates of target environment often consist of spurious targets because of radar signal sidelobes. As a result, matched filters are …
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