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 8 of 8 for “"Optimal Filtering"”.
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Inertial measurement unit calibration using Full Information Maximum Likelihood Optimal Filtering
… of Full Information Maximum Likelihood Optimal Filtering (FIMLOF) for inertial measurement unit (IMU) calibration in high-g centrifuge environments is considered. FIMLOF uses an approximate Newton's Method to identify Kalman Filter parameters such as process and measurement noise …
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A Distributed Parameter Approach to Optimal Filtering and Estimation with Mobile Sensor Networks
… framework for analyzing and approximating optimal sensor placement problems for distributed parameter systems and apply these results to PDE problems defined by the convection-diffusion equations. The mathematical problem is formulated as a distributed parameter optimal control problem with …
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Mathematical Study on the Expressive Power of Machine Learning and Applications in Optimal Filtering Problems
… and their practical applications in optimal filtering problems. The practical expressive power of these models depends on the choice of \textit{model structure} (deep or shallow), which sets the upper limit of expressive power, and the \textit{trainability} of the model, which enables …
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Conditional Mechanical Squeezing of a Micromechanical Oscillator Approaching the Quantum Regime
… in a detuned optomechanical cavity and applying optimal filtering, namely the Wiener filter, to the noisy measurement record to estimate the conditional state. I also present a new technique for locking homodyne detectors using a free-space continuously tunable optical field modulator, enabling …
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Reduced rank filtering in chaotic systems with application in geophysical sciences
… which when solved recursively is known as Filtering. Due to the large dimensions of geophysical models, optimal filtering algorithms cannot be implemented within the constraints of available computation resources. As a result, most applications use suboptimal reduced rank algorithms. …
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Use of evolutionary algorithms to select filters for evoked potential enhancement
… parameters and weightings of the filters. Three filtering approaches were investigated. Finally, wavelets in conjunction with an evolutionary algorithm were used to select particular wavelets and wavelet parameters. A comparison of these methods with optimal filtering methods and averaging was …
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Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks
This thesis is based on 5 papers exploring the filtering problem in non-linear non-Gaussian state-space models together with applications of Sequential Monte Carlo (also called particle filtering) methods to the positioning in wireless networks. The aim of the first paper is to study the …
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(MEMS) toroidal magnetics for integrated power electronics
… approach. Finally, a multi-dimensional Pareto-optimal filtering is applied to reduce the feasible design set to those on the multi-objective optimality frontier. For the case of LED drivers, the current state of the art efficiencies range from 65% to 90%. The co-optimization process results in …