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Filter Design with Hard Spectral Constraints
KTH Royal Institute of Technology.
Univ. of Florida (United States).
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
2014 (English)In: Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, 2014, 391-395 p.Conference paper, Published paper (Refereed)
Abstract [en]

Filter design is a fundamental problem in signal processing and important in many applications. In this paper we consider a communication application with spectral constraints, using filter designs that can be solved globally via convex optimization. Tradeoffs are discussed in order to determine which design is the most appropriate, and for these applications, finite impulse response filters appear to be more suitable than infinite impulse response filters since they allow for more flexible objective functions, shorter transients, and faster filter implementations.

Place, publisher, year, edition, pages
2014. 391-395 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-234687OAI: oai:DiVA.org:uu-234687DiVA: diva2:757552
Conference
22nd European Signal Processing Conference , EUSIPCO, Lisbon, 1-5 Sept. 2014
Available from: 2014-10-22 Created: 2014-10-22 Last updated: 2015-01-08Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
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