Go to  Advanced Search

Statistical solutions for and from signal processing

Show full item record

Files in this item

Files Size Format Description   View
ubc_2008_fall_bornn_luke.pdf 1.332Mb Adobe Portable Document Format   View/Open
 
Title: Statistical solutions for and from signal processing
Author: Bornn, Luke
Degree Master of Science - MSc
Program Statistics
Copyright Date: 2008
Publicly Available in cIRcle 2009-03-02
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.
URI: http://hdl.handle.net/2429/5345

This item appears in the following Collection(s)

Show full item record

All items in cIRcle are protected by copyright, with all rights reserved.

UBC Library
1961 East Mall
Vancouver, B.C.
Canada V6T 1Z1
Tel: 604-822-6375
Fax: 604-822-3893