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 55 for “"Filtering methods"”.
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Natural resonance extraction and annihilation filtering methods for radar target identification
… for successful implementation of an annihilation filtering target identification system. This testing was conducted through the use of noise polluted synthetic data as well as measured transient scattering data from thin-wire and silver coated scale model aircraft targets. The testing revealed …
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Application of Digital Filtering Methods to State and Parameter Estimation in Process Plant
The application of on-line state variable and parameter estimation for chemical processes, with particular reference to a pilot plant scale double effect evaporator, has been investigated. The investigation has shown the requirement of some adaptive modification to the recursive Kalman Filter to be …
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A Comparison of Statistical Filtering Methods for Automatic Term Extraction for Domain Analysis
… vocabularies produced by domain engineers. Six filtering mechanisms were also evaluated to measure their impact on selecting proper vocabulary terms. The results of the experiment show that stemming and stop word removal do improve overlap scores and that term frequency is a valuable contributor …
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Sequential Calibration of Asset Pricing Models to Option Prices
This paper implements four calibration methods on stochastic volatility models. We estimate the latent state and parameters of the models using three non-linear filtering methods, namely the extended Kalman filter (EKF), iterated extended Kalman filter (IEKF) and the unscented Kalman filter (UKF). …
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PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS
… bandwidth, equipment, or servers. Packet filtering methods are the most known way to prevent these attacks via identifying and blocking the spoofed attack from reaching its target. In this project, the extent of the DoS attacks problem and attempts to prevent it are explored. The attacks …
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Noisy with a Chance of Mislabels: A Local and Training Dynamics Perspective on Detecting Label Noise in Deep Classification
… across Training Epochs (LoCaTE), a class of data-filtering methods that leverages over-parameterized and over-trained neural networks to distinguish clean samples from mislabeled ones. Our approach integrates both local neighborhood information and the behavior of samples across training epochs to …
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Design of dust-filtering algorithms for LiDAR sensors in off-road vehicles using the AI and non-AI methods
… data. This thesis proposes two distinct dust filtering methods to address this issue. These methods utilize both AI and non-AI techniques. Specifically, we designed various dust filters including the Low-Intensity Dynamic Outlier Removal (LIDROR) using intensity and range information. In …
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Algorithms for matrix completion
We consider collaborative filtering methods for matrix completion. A typical approach is to find a low rank matrix that matches the observed ratings. However, the corresponding problem has local optima. In this thesis, we study two approaches to remedy this issue: reference vector method and trace …
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Design of an Analog Adaptive Piezoelectric Sensoriactuator
… presents alternative analog LMS adaptive filtering methods which accomplish the same result. The main advantage of the proposed analog compensation scheme is its ability to more closely match the order of the adaptive filter to the assumed dynamics of the piezostructure using an adaptive …
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Particle filtering for frequency estimation from acoustic time-series in dispersive media
… on the development of sequential Bayesian filtering methods to obtain accurate estimates of instantaneous frequencies using Short Term Fourier Transforms within the acoustic field measured at an array of hydrophones, which can be used in a subsequent step for the estimation of propagation …
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Recommender System for Audio Recordings
… recommendation engines using different data filtering methods – named weighted-average, K-nearest neighbors, and item-based – which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by …
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Robust, model-based fault detection for commercial transport air data probes.
… fault detection strategy uses robust linear filtering methods to reject exogenous disturbances, e.g. wind, and provide robustness to model errors. The proposed algorithm is applied to NASA's Generic Transport Model aircraft with an air data system modeled based on manufacturer data provided …
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Probabilistic Inference for Inference Time Scaling of Language Models
… Existing deterministic inference-time scaling methods, usually with reward models, cast the task as a search problem, but suffer from a key limitation: early pruning. Due to inherently imperfect reward models, promising trajectories may be discarded prematurely, leading to suboptimal …
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On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems
Iterative Krylov subspace methods have proven to be efficient tools for solving linear systems of equations. In the context of ill-posed inverse problems, they tend to exhibit semiconvergence behavior making it difficult detect ``inverted noise" and stop iterations before solutions become …
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Optimal control, self-tuning techniques and their application to dynamically positioned vessels
… and wave motions are given. The various Kalman filtering methods are appraised. An optimal state feedback control with integral action for the ship positioning system is proposed, followed by the simplification of the complex control structure to allow easy implementation. A self-tuning Kalman …
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Fire History of an Acidic Barrens Complex: A Methods Assessment of Fire Return Intervals
… rigida) for the purpose of assessing multiple "filtering" techniques and for the development of a fire interval simulation model. The simulation model randomly selected trees from each grid cell to estimate fire return intervals at multiple spatial scales. Our results indicate that fire return …
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Information theoretic design of breast sonography
… trained human observers using psychophysical methods. The iterative Wiener filter was found to match the performance of the Wiener filter for low-contrast lesions and increase the performance for high-contrast tasks. This filter offers greater diagnostic performance for discriminating …
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Methods for Radioactive Source Localization via Uncrewed Aerial Systems
… There is a need to research and develop methods to integrate existing radiation detection technology with UAS capable of flying low-altitude missions. This low-altitude scanning can be achieved by combining small and lightweight radiation detectors and state-of-the-art aircraft and …
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Stability-based, random matrix theory filtering of financial portfolios
This thesis describes research on filtering methods using RandomMatrix Theory (RMT) Models in financial markets. In particular, a novel, stability-based RMT filter is proposed and its potential, for reducing stock portfolio risk, is compared to two well-known alternatives. In terms of performance, …
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