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.
Results
Showing 1 to 20 of 45 for “"signal models"”.
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Follow the signal: models of attention, reason, and belief
… these phenomena leave behind observable signals in subtle traces in gaze, language, timing, and interaction. These traces vary across individuals and contexts, yet they offer a window into the underlying cognitive processes. In this thesis, I model the behavioral and linguistic signals …
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Signal models and computational methods for robust exoplanet detection
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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SIGNAL MODELS, ANALYSIS ALGORITHMS, AND SOFTWARE TOOLS FOR MODAL AUDIO RESYNTHESIS
… auxiliary algorithm that complements SAMPLE and models the trajectories in the spectrogram as the amplitude and frequency modulations of beats. This thesis also details the reasons why most signal analysis models fail with beats. Furthermore, the thesis presents the Generalized Mixture Space …
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Recovery of sparse signals and parameter perturbations from parameterized signal models
Estimating unknown signals from parameterized measurement models is a common problem that arises in diverse areas such as statistics, imaging, machine learning, and signal processing. In many of these problems, however, only a limited amount of data is available to recover the unknown signal. …
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Current-mode control of a magnetic amplifier post regulator
… of a magnetic amplifier post regulator. Small-signal models for a magnetic amplifier reset method are developed for post regulators operating in continuous conduction mode. A design procedure is given and experimental verification of the model is provided.
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Combining Computational Techniques with Physics for Applications in Accelerated MRI
… range of techniques. We next introduce Latent Signal Models for time-resolved MRI reconstruction. Latent Signal Models trains neural-networks to approximate the Bloch equations, and inserts the models directly into the MRI re- construction problem. This enables fast optimization through a proxy …
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Model-based myelin water fraction mapping: analyses and improvement
… We first focus on three of the most widely used signal models for T2*-myelin water imaging (MWI), i.e., the NNLS-multi-exponential model, the magnitude-3-exponential model, and the complex-3-exponential model, and investigate their sensitivities to practical perturbations such as random noise and …
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Small Signal Equivalent Circuit Extraction From A Gallium Arsenide MESFET Device
… need to model them. This thesis extracts a small signal equivalent circuit model from a Gallium Arsenide MESFET device. The approach taken in this thesis is to use measured S- parameters to extract a small signal equivalent circuit model by optimization. Small signal models and S-parameters are …
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Digital current mode control for multiple input converters
… converter control problem. The small signal models of digital constant on-time controlled single-input (SI), MI buck and SI, MI buck-boost converters in both CCM and DCM are proposed. Simulations and experiments were built to verify the proposed models.
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Modeling and Stability Analysis for Multiphase Constant On-Time Control With Phase Overlapping
… However, currently, there is no good small-signal model to analyze stability and design high-bandwidth control loops for multiphase COT buck converters operating under phase-overlapping conditions. To address this issue, this dissertation presents a systematic small-signal modeling approach …
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Design of a multi-module multi-phase battery charger for the NASA EOS space platform testbed
… Regulation) designs are presented and the small-signal models are verified with experimental results. The charger testing is facilitated by the use of the Space Platform Power System Hardware Testbed. The testbed utilizes battery and solar array simulators which allow for realistic battery …
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High Performance Power Converter Systems for Nonlinear and Unbalanced Load/Source
… operation under unbalanced source. Average large-signal models of four-legged power converters in both the a-b-c and d-q-o coordinates are derived. Small signal models are obtained in the d-q-o rotating coordinates. Voltage control loops are designed in the d-q-o coordinates for a high power …
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Spatial -Temporal Multiuser Receivers for Cdma-Based Communications
… extended to more general joint spatial-temporal signal models, but are likely to be more robust in separable spatial-temporal processing when spatial processing can whiten strong multiple-access interference originating from adjacent cells.
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Analysis and design of a low-ripple coupled-inductor boost topology
… manufacture, while improving reliability. Small signal models for the proposed topology are presented along with hardware verification. It is found that, with proper damping, the small signal characteristics of the coupled-inductor topology are very similar to those of the conventional boost. …
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Modeling and control of zero-voltage transition three-phase PWM boost rectifier
Average and small signal modeling of zero-voltage transition three-phase boost rectifier is performed. The effect of ZVT is introduced in the existing model for the three-phase boost rectifier using the time-averaging equivalent circuit approach. The small signal model is derived from the average …
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Compact device modeling and millimeter-wave oscillator design for III-V HBT technology
… for both millimeter-wave and high-speed mixed-signal circuits. However, as the complexity of the circuits that can be realized with DHBTs increases, new compact large-signal models are needed to properly model the physical operation of these devices, because current models are based on older …
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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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Toward an interpretive framework of two-dimensional speech-signal processing
… are derived from short-time segments of the signal and result in time-frequency distributions of energy such as the short-time Fourier transform and spectrogram. Speech-signal models of such representations have had utility in a variety of applications such as speech analysis, recognition, …
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Characterization, Design, and Modeling of on -Chip Electrostatic Discharge Protection Devices
… simulator-independent circuit-level compact models for ESD protection NMOSFETs and diodes are developed using the Verilog-A language. Model confirmations are obtained through experimental data of a 0.6-mum, and a 0.13-mum CMOS technology. Small-signal and large-signal models are provided to …
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Gallium Nitride-Based HEMT Devices Modeling and Performance Characterization
… Power AlGaN/GaN MMIC design requires large signal modeling of the device. In bottom-up modeling techniques, the large signal model is based on small signal models derived at different bias conditions. In addition, noise performance analyses also require the knowledge of the small signal …
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