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 9 of 9 for “"robust filtering"”.
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Robust speech filtering in impulsive noise environments
This thesis presents a new robust filtering technique that suppresses impulsive noise in speech signals. The method makes use of Projection Statistics based on medians to detect segments of speech with impulses. The autoregressive model employed to smooth out the speech signal is identified by …
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Data cleaning techniques for software engineering data sets
… technique represents a noise handling approach: robust filtering, where training and test sets are the same; predictive filtering, where training and test sets are different; and filtering and polish, where noisy instances are corrected. The techniques were first evaluated in two different …
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Robust Bayesian state estimation and mapping
… world. Unfortunately, these algorithms are not robust to outliers and even a single faulty measurement can cause a catastrophic failure of the navigation system. This thesis proposes several novel robust navigation and SLAM algorithms that produce accurate results when outliers and faulty …
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Real-Time Realization of Lidar – Based Digital Surface Models for Airborne Safe Landing Zone Identification in Challenging Environments
… Several research activities have addressed robust filtering algorithms for the airborne laser scanning (ALS) data. Although most of these filtering algorithms are accurate and robust, they are limited to post-processing since they rely on computationally expensive algorithms and require high …
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Robust Spacecraft Autonomy for Deep Space Exploration in Special Euclidean Group SE(3)
… lights and with unknown surface properties, robust autonomy transitions from a luxury to a mission-critical requirement.</p> <p>Legacy deep-space guidance, control and navigation (GN&C) methods, which rely heavily on ground-based sequencing schemes, are intolerant to unplanned events or …
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Robust Adaptive Rigid Body State and Mass Property Estimation Via Unscented Kalman Filter on TSE(3) with Process Noise Estimation
… scheme becomes necessary. This thesis presents a robust adaptive estimation scheme, a dual UKF framework de- fined on the tangent bundle of the special Euclidean group, TSE(3), tailored explicitly for nonlinear mass property estimation. The external environmental disturbances due to massive …
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Towards robust inference for Bayesian filtering of linear Gaussian dynamical systems subject to additive change
State space models enjoy wide popularity in mathematical and statistical modelling across disciplines and research fields. Frequent solutions to problems of estimation and forecasting of a latent signal such as the celebrated Kalman filter hereby rely on a set of strong assumptions such as …