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 50 for “"Estimation Theory"”.
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Detection controlled estimation : theory and applications
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 1987.
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When Decision Meets Estimation: Theory and Applications
In many practical problems, both decision and estimation are involved. This dissertation intends to study the relationship between decision and estimation in these problems, so that more accurate inference methods can be developed. Hybrid estimation is an important formulation that deals with state …
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Nonlinear estimation theory and phase-lock loops.
Thesis. 1976. Ph.D.--Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
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Over-parameterized low-rank matrix estimation: Theory, algorithms, applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Point process based high frequency volatility estimation : theory and applications
… point process based high-frequency volatility estimation. The first chapter introduces a new class of high-frequency volatility estimators and examines its asymptotic properties. The second chapter studies the relative importance of market microstructure (MMS) variables on high-frequency …
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Modeling human spatial orientation perception in a centrifuge using estimation theory
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.
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Wavelet-Based Statistical Modeling and Image Estimation
Third, it has been noticed in image estimation practice that a translation invariant (TI) wavelet transform enhances estimation performance. We analyze the conventional complete wavelet transform and the TI wavelet transform from the viewpoints of approximation and estimation theory. First, we show …
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State Variable and Parameter Estimation
… This work is then incorporated into state estimation theory and a continuous filter is developed. A new sequential adaptive filter is then developed which effectively compensates for errors in the mathematical description of the process. This adaptive filter finds the mean and covariance of …
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Systems approach to the design of locomotive fatigue management technologies
… rather than at the individual level. Based on an estimation theory framework, a new systems approach is here proposed to design locomotive cab alerting technologies. The main idea is to combine information from an infrared eyelid monitor and a generic Train Sentry class activity monitor, to …
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Tools of risk management in product verification
… targets. Based on probabilistic methods and estimation theory, the thesis applies a mathematical model to assess the risk involved in product verification and provides a set of spreadsheet tools to emulate the evolution of performance estimates. The proposed model is employed to analyze …
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Improvement of three dimensional acoustic field estimation using tomographic reconstructions of the ocean
… tomography experiment using linear optimal estimation theory. Inversions were also performed using XSV and satellite sea surface temperature data. Gaussian fits to the reconstructed features were constructed for use with a three dimensional raytrace program (HARPO). Three dimensional rays …
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Two-Sensor Synthetic Aperture Geolocation Techniques
… a brief treatment of noise tolerance and estimation theory is given. Lastly, the overall feasibility of a synthetic-aperture-based geolocation algorithm is summarily addressed.
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Line transect abundance estimation with uncertain detection on the trackline
… reviewing developments in line transect estimation theory to date, general likelihood functions are derived for the case in which detection probabilities are modelled as functions of any number of explanatory variables and detection of animals on the trackline (i.e. directly in the …
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Identification and Estimation with Deconfounded Instruments
… endogenous instrumental variables. A crucial estimation step called deconfounding recovers variation in the instruments, which is unassociated with some observed variables called proxies, and consequently with any unobserved variables that explain the association between the instruments and …
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Analysis of robot localisation performance based on extended kalman filter
… robustness and accuracy. EKF is a technique from estimation theory that combines the information of different uncertain sources to obtain the value of variables. However, there are a number of variations of EKF with different values of variables, which lead to contradicting results in terms of …
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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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Curve evolution and estimation-theoretic techniques for image processing
… processing arena. Recently, curve evolution and estimation-theoretic approaches to image processing have received considerable attention. Their role in the development of novel image processing algorithms is the focus of this thesis. The main contributions of this thesis lie in the development of …
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Impact of MIMO Transmission on CAF-Based Geolocation
… The analysis is performed using a detection theory framework as opposed to estimation theory in order to empha- size the impact of MIMO transmission on determining the correct TDOA/FDOA bin. A simple method using the CAF magnitude as a decision statistic is also presented so that TDOA/FDOA …
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On quantifying the quality of information in social sensing
This thesis develops the fundamental theory and methodology for quantifying the Quality of Information (QoI) in social sensing. We refer social sensing to the sensing applications where humans play a critical role in the sensing or data collection process. Social sensing has emerged as a new …
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