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UBC Theses and Dissertations
Statistical solutions for and from signal processing Bornn, Luke
Abstract
With the wide range of fields engaging in signal processing research, many methods do not receive adequate dissemination across disciplines due to differences in jargon, notation, and level of rigor. In this thesis, I attempt to bridge this gap by applying two statistical techniques originating in signal processing to fields for which they were not originally intended. Firstly, I employ particle filters, a tool used for state estimation in the physics signal processing world, for the task of prior sensitivity analysis and cross validation in Bayesian statistics. Secondly, I demonstrate the application of support vector forecasters, a tool used for forecasting in the machine learning signal processing world, to the field of structural health monitoring.
Item Metadata
Title |
Statistical solutions for and from signal processing
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2008
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Description |
With the wide range of fields engaging in signal processing research, many
methods do not receive adequate dissemination across disciplines due to
differences in jargon, notation, and level of rigor. In this thesis, I attempt to
bridge this gap by applying two statistical techniques originating in signal
processing to fields for which they were not originally intended. Firstly,
I employ particle filters, a tool used for state estimation in the physics
signal processing world, for the task of prior sensitivity analysis and cross
validation in Bayesian statistics. Secondly, I demonstrate the application of
support vector forecasters, a tool used for forecasting in the machine learning
signal processing world, to the field of structural health monitoring.
|
Extent |
1332307 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-03-02
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0066974
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2008-11
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International