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 131 for “"Estimation algorithms"”.
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Performance Appraisal of Estimation Algorithms and Application of Estimation Algorithms to Target Tracking
… part deals with the performance appraisal of estimation algorithms. The second part focuses on the application of estimation algorithms to target tracking. Performance appraisal is crucial for understanding, developing and comparing various estimation algorithms. In particular, with the …
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Distributed estimation algorithms for autonomous systems
… the theory and applications of distributed estimation algorithms. It was found that for specific objective functions, general meshes of distributed agents may estimate a state while maintaining a consensus over its PDF and satisfying communication/localization objective constraint at the …
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Statistical Recursive Estimation Algorithms for Speaker Adaption
… is the development of statistical recursive estimation algorithms for speaker adaptation. In this thesis, a unified framework for recursive maximum likelihood estimation and recursive Bayesian learning is first developed and applied to direct hidden Markov model parameter estimation. Then an …
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Control and Estimation Algorithms for Multiple-Agent Systems
… unicycles. The convergence of all the proposed algorithms, with probability one and in the mean square sense, has been proved. Also, the problem of target assignment in multi-agent systems using multi-variable extremum seeking algorithm has been addressed. An algorithm which effectively solves …
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Fast Motion Estimation Algorithms for Block-Based Video Coding Encoders
The objective of my research is reducing the complexity of video coding standards in real-time scalable and multi-view applications.
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Fast implementations of block motion estimation algorithms in video encoders
… aimed at designing and implementing novel fast algorithms for speeding up the encoding process. The objective of this study was to come up with algorithms which can estimate the data significantly faster than the existing algorithms, whilst ensuring acceptable video quality.
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Adaptive Wavefront Estimation Algorithms for High-Contrast Imaging of Exoplanets
… the probe magnitude applied to the DMs for the estimation algorithm. This work quantifies the impact of the drift rate, photon rate, and probe magnitude on the performance of DZM by performing a parameter scan on high-contrast imaging testbeds. The parameter scan was performed on both the in-air …
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New Estimation Algorithms With Applications To Relative And Absolute Orbit Determination
Three papers are presented that develop new estimation algorithms for the relative navigation of high-altitude spacecraft and for systems that have implicitly defined measurement times. The first two papers focus on the use of carrierphase differential GPS techniques with integer ambiguities to …
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Stochastic chaos and thermodynamic phase transitions : theory and Bayesian estimation algorithms
The chaotic behavior of dynamical systems underlies the foundations of statistical mechanics through ergodic theory. This putative connection is made more concrete in Part I of this thesis, where we show how to quantify certain chaotic properties of a system that are of relevance to statistical …
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Interdigital dielectrometry sensor design and parameter estimation algorithms for non-destructive materials evaluation
… is to develop instrumentation and parameter estimation algorithms for nondestructive measurement of non-homogeneous material property profiles with fringing electric field dielectrometry sensors. The instrumentation includes interdigital sensors and sensor arrays, other types of fringing …
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Evaluation of Joint AOA and DOA Estimation Algorithms Using the Antenna Array Systems
… Angle of Arrival (AOA) Position Location (PL) algorithms, such as MUltiple SIgnal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques ESPRIT algorithms. Since using delay of arrival information can improve AOA estimates and classical PL algorithms do …
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The Application of Intelligent Tires and Model Base Estimation Algorithms in Tire-road Contact Characterization
… direct relation to vehicle stability, accurate estimation of tire-road characteristics is of interest to all vehicle and tire companies. Many studies have been conducted in this field and researchers have used different tools and have proposed different algorithms. One such concept is the …
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Homography-Based State Estimation for Autonomous Exploration in Unknown Environments
… presents the development of vision-based state estimation algorithms to enable a quadcopter UAV to navigate and explore a previously unknown GPS denied environment. These state estimation algorithms are based on tracked Speeded-Up Robust Features (SURF) points and the homography relationship …
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Adaptive Learning Terrain Estimation for Unmanned Aerial Vehicle Applications
… To address this issue, Adaptive Learning Terrain Estimation algorithms have been developed with an aim towards aerospace applications. This thesis develops and tests Adaptive Learning Terrain Estimation algorithms using a custom test benchmark on representative aerospace cases: autonomous UAV …
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Algorithms in time series
… on the development of fast regression—based algorithms for the problem of model identification. In this thesis we investigate the statistical properties of pseudo—linear regression algorithms in the context of off-line and online (real-time) identification. A review of these procedures is …
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Algorithms in time series
… on the development of fast regression—based algorithms for the problem of model identification. In this thesis we investigate the statistical properties of pseudo—linear regression algorithms in the context of off-line and online (real-time) identification. A review of these procedures is …
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K-distribution fading models for Bayesian estimation of an underwater acoustic channel
Current underwater acoustic channel estimation techniques generally apply linear MMSE estimation. This approach is optimal in a mean square error sense under the assumption that the impulse response fluctuations are well characterized by Gaussian statistics, leading to a Rayleigh distributed …
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Wideband Channel Characterization for MIMO Scenario
… work provides two different wideband channel estimation algorithms based on simultaneous transmission from and reception on all antennas. Simulated data from an electromagnetic ray tracing tool is used (as a substitute for measured data) to obtain propagation data. One of the wideband …
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