Multisensor Signal Processing: Theory and Algorithms for Image -Based Rendering and Multichannel Sampling
Nguyen, Ha Thai
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https://hdl.handle.net/2142/81038
Description
Title
Multisensor Signal Processing: Theory and Algorithms for Image -Based Rendering and Multichannel Sampling
Author(s)
Nguyen, Ha Thai
Issue Date
2007
Doctoral Committee Chair(s)
Minh Do
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
Finally, motivated by multichannel sampling applications, we consider hybrid filter banks consisting of fractional delay operators, analog analysis filters, slow A/D converters, digital expanders, and digital synthesis filters to approximate a fast A/D converter. The synthesis filters are to be designed to minimize the maximum gain of an induced error system. We show the equivalence of this system to a digital system, used to design the synthesis filters using control theory tools, including model-matching and linear matrix inequality. The designed system is robust against delay estimate errors.
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