Back to results

University of Illinois at Urbana-Champaign

Multisensor Signal Processing: Theory and Algorithms for Image -Based Rendering and Multichannel Sampling

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nguyen, Ha Thai
Contributors dc:contributor
  • Minh Do

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3290333
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81038

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Nguyen, Ha Thai. Multisensor Signal Processing: Theory and Algorithms for Image -Based Rendering and Multichannel Sampling. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81038