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 298 for “"Estimation Techniques"”.
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Robust motion estimation techniques
… OF MISSOURI AT AUTHOR'S REQUEST.] Motion estimation is a very important step in many video processing tasks, including video compression, object tracking, and etc. A video may experience both global motion and local object motion. Global motion includes camera rotation, zooming, and …
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New Estimation Techniques for Adaptive Control
[abstract missing]
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Antenna boresight calibration using optimal estimation techniques
As part of the Canadian Department of National Defence Spotlight SAR program, the Defence Research Establishment Ottawa (DREO) has been developing a Synthetic Aperture Radar Motion Compensation System (SARMCS). The SARMCS processes accelerometer and gyro measurements from an inertial measurement …
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Modern portfolio optimization using robust estimation techniques
… some cases. In this dissertation various robust estimation techniques are investigated in an attempt to minimise the influence that outliers may have on the estimation and to better estimate the input parameters for the Markowitz and Sharpe portfolio models. The main goal is to ascertain whether …
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Comparison of ridge and other shrinkage estimation techniques
Shrinkage estimation is an increasingly popular class of biased parameter estimation techniques, vital when the columns of the matrix of independent variables X exhibit dependencies or near dependencies. These dependencies often lead to serious problems in least squares estimation: inflated …
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Cost of Equity Estimation Techniques used by Valuation Experts
… reached regarding the appropriate cost of equity estimation. The aim of our thesis is to investigate the cost of equity estimation in practice. In other words, we aim to provide data on the popularity of individual cost of equity models and evidence on what techniques are used for the estimation …
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Simulation and Estimation Techniques for Wideband High-Frequency Communication Channels
… model are also discussed. Finally, a channel estimation scheme, based on an autoregressive (AR) model for the channel multipath parameters, is developed. The implementation and performance of the channel estimation scheme are analyzed through simulations using the WBHF channel models.
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Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots
… slip parameters. Combining all of the above techniques, an overall architecture is proposed to assist and inform tele-operation of tracked robotic systems in unstructured terrain conditions. All of the above proposed techniques have been validated through simulations and experiments in indoor …
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Robust Estimation Techniques for the Cosmological Analysis of Large Scale Structure
The ΛCDM model of cosmology together with Inflation has had tremendous success over the past 30 years in explaining the increasingly rich data sets of the cosmic microwave background and large-scale structure. The next generation of large-scale structure surveys is expected to answer many open …
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Radar cross-section data encoding based on parametric spectral estimation techniques
… applications. These applications include data estimation and interpolation, modern spectral estimation, and data encoding. This research applies parametric modeling to radar cross section data in an attempt to encode it as well as preserve its spectrum. Traditionally, radar data has been …
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Modeling and Estimation Techniques for Wide-Area Network Traffic with Atypical Components
… statistics. Putative methods for bimodal estimation are reviewed and a novel technique, the midpoint-distance profile, is presented. The performance of these estimation techniques is studied via simulation and the methods are examined in the context of atypical network traffic. The …
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A comparison of yield estimation techniques for old-field loblolly pine plantations
… pine (Pinus taeda) plantations requires accurate estimation of stand yield at rotation. Methods of estimating yield from stand variables, existing number of trees per acre, height of the dominant and co-dominant stand, and stand age, are presented. These methods include a multiple regression model …
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Evaluation of workload estimation techniques in simulated piloting tasks emphasizing mediational activity
… cognitive activity. Generally speaking, workload estimation techniques have not been tested to determine their relative sensitivity and intrusion to mediational piloting tasks. An experiment comparing the sensitivity and intrusion of eight workload estimation techniques was conducted using a …
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Comparative analysis of nitrate load estimation techniques in watersheds with different land-use characteristics
… sampling frequency and the best method for the estimation of nutrient concentrations that minimizes the uncertainty caused by data and modeling errors in the estimated data. For that purpose, researchers have used various regression models such as LOADEST, WRTDS, linear interpolation, and error …
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Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors
… types of problems that occur during parameter estimation in chemical engineering systems are studied. The first problem is having too many parameters to estimate from limited available data, assuming that the model structure is correct, while the second problem involves estimating unmeasured …
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Application of Improved Truncation Error Estimation Techniques to Adjoint Based Error Estimation and Grid Adaptation
… computed using these solutions. Adjoint error estimation techniques specifically seek to estimate the error in functionals, but are dependent upon accurate truncation error estimates. This work examines the application of new, single-grid, truncation error estimation procedures to the problem …
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A Comparison of Bayesian Estimation Techniques in a Multidimensional Two-Parameter Partial Credit Item Response Model
<p>Bayesian estimation methods have shown better performance than the traditional Marginal Maximum Likelihood (MML) estimation method for parameter estimation in relatively simple item response models. However, extant literature is lacking on the investigation of Bayesian parameter estimation …
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