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 32 for “"signal modeling"”.
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Accurate Small-Signal Modeling for Resonant Converters
… premium. However, the lack of an accurate small-signal model has become an impediment to performance optimization. Many modeling attempts have been made to date. Besides the discrete time-domain modeling, most continuous-time modeling approaches are based on fundamental approximation, and are …
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Adaptive nonlocal and structured sparse signal modeling and applications
… dictionary model, have been heavily exploited in signal processing and computer vision. Many applications such as image and video denoising, inpainting, demosaicing, super-resolution, magnetic resonance imaging (MRI), and computed tomography (CT) reconstruction have been shown to benefit from …
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A framework for non-Gaussian signal modeling and estimation
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Signal Modeling and Data Reduction for Wireless Brain-Machine Interfaces
… known a priori. This thesis deals with both the modeling of the neural signal to provide realistic and practical means of generating test data, as well as low-complexity methods for data reduction that lead to efficient utilization of the wireless link and the energy resources at hand. The main …
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Large-signal modeling of bulk and SOI RF power LDMOS FETs
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Development of Ground Penetrating Radar Signal Modeling and Implementation for Transportation Infrastructure
… the fact that images obtained from the reflected signals are not photographs of the features that are beneath the surface being investigated. The images show the amplitude of the radar-reflected signals from the interfaces with different dielectric properties. Therefore, a considerable amount of …
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Small-Signal Modeling and Stability Specification of a Hybrid Propulsion System for Aircrafts
This work utilizes the small-signal impedance-based stability analysis method to develop stability assessment criteria for a single-aisle turboelectric aircraft with aft boundary-layer propulsion (STARC-ABL) system. The impedance-based stability analysis method outperforms other stability analysis …
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On the Circuit Oriented Average Large Signal Modeling of Power Converters and its Applications
… accurate and efficient Circuit Oriented Large Signal Average Models (COLSAMs) that approximate the slow dynamics manifold of the moving average values of the relevant state variables for Pulse-Width Modulated (PWM) dc to dc and three-phase to dc power converters is developed. These COLSAMs can …
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Extended describing function method for small-signal modeling of resonant and multi-resonant converters
… method is proposed as a systematic small-signal modeling approach to nonlinear switching circuits. This method offers significant simplification upon the previous work on using the multi-variable describing functions to treat the circuit nonlinearities. As an extension to the statespace …
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A Non-isolated Half Bridge Buck-based Converter For Vrm Application And Small Signal Modeling Of A Non-conventional Two Phase Bu
This dissertation is about treatment of the nonbiodegradable organic content of landfill leachate by chemical oxidation combined with biological treatment. It is divided into three parts. In the first part, ferrate was compared to Fenton's reagent for the purpose of removing non-biodegradable …
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RFIDSim : a discrete event simulator for Radio Frequency Identification systems
… all of their energy from the radio frequency signals sent by the reader. RFIDSim currently supports the Auto-ID Class 0 and Class 1 UHF RFID protocols, and is designed to be an extensible framework for additional protocol implementations, as well as a modular structure that partitions the …
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Analysis, simulation and modeling of three-level VSIs
… done by computer simulation. Comprehensive small-signal modeling of the three-level converter with a resistive load is developed the first time. Steady-state solutions reveal that the voltage across dc-link input capacitors is constant at the half of the dc-link voltage.
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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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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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Modeling and Implementation of Controller for Switched Reluctance Motor With Ac Small Signal Model
… nature of the SRM. In this thesis, the ac small signal modeling technique is proposed for linearization of the SRM model such that a conventional PI controller can be designed accordingly for the PWM current controller. With the linearized SRM model, the duty-cycle to output transfer function can …
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Bayesian Adjustment for Multiplicity
… have many common structural features. Though the modeling approach throughout is Bayesian, frequentist reasoning regarding error rates will often be employed.</p><p>Chapter 1 frames the issues in the context of historical debates about Bayesian multiplicity adjustment. Chapter 2 confronts the …
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Renewable electric power systems energy yield and performance estimation
… We also present applications to stochastic small-signal modeling of power systems. Case studies demonstrate how to quantify the impact of renewable resources uncertainty on power system dynamics.
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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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Signal decomposition for nonstationary processes
… dissertation is to explore and develop better signal modeling (decomposition) methods for nonstationary and/or nonlinear dynamic processes. Localization is the main focus. The characteristics of a nonstationary or nonlinear signal are decomposed onto a set of basis functions, either in the …
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Multi-defect localization and evaluation techniques for distribution cables based on time-domain reflectometry
… localizing cable defects. By injecting a pulse signal into the cable and analyzing the reflected signal, TDR enables the detection and localization of defects. However, due to limited understanding of defect-related signal propagation characteristics, the lack of advanced signal processing …
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