Pulling the information out of the clutter

Brian D.O. Anderson*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fixed and wireless telecommunications systems, sonar systems, navigation devices, image processing algorithms-these are all examples of where signal processing is used. Much signal processing is based on statistical models of processes generating the signals and the contaminating noise. This paper traces the development of statistical processing theories, beginning with Wiener filtering, continuing through Kalman filtering, and ending with Hidden Markov Models. Different assumptions underpin these theories, and also very different mathematics. Yet a number of common features remain.

Original languageEnglish
Title of host publicationApplied Mathematics Entering the 21st Century
Subtitle of host publicationInvited Talks from the ICIAM 2003 Congress
EditorsJ.M. Hill, R. Moore
Pages1-22+i+xi
Publication statusPublished - 2004
EventApplied Mathematics Entering the 21st Century: Invited Talks from theICIAM 2003 Congress - Sydney, Australia
Duration: 7 Jul 200411 Jul 2004

Publication series

NameApplied Mathematics Entering the 21st Century: Invited Talks from the ICIAM 2003 Congress

Conference

ConferenceApplied Mathematics Entering the 21st Century: Invited Talks from theICIAM 2003 Congress
Country/TerritoryAustralia
CitySydney
Period7/07/0411/07/04

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