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Filter design with hard spectral constraints
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).ORCID iD: 0000-0001-5158-9255
2014 (English)In: European Signal Processing Conference, 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.
Keyword [en]
convex optimization, filter design, OFDM, Design, Filter banks, IIR filters, Impulse response, Orthogonal frequency division multiplexing, Communication application, Filter designs, Objective functions, Spectral constraints, Signal processing
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-167037Scopus ID: 2-s2.0-84911926848ISBN: 9780992862619 (print)OAI: oai:DiVA.org:kth-167037DiVA: diva2:813184
Conference
22nd European Signal Processing Conference, EUSIPCO 2014, 1 September 2014 through 5 September 2014
Note

QC 20150521

Available from: 2015-05-21 Created: 2015-05-21 Last updated: 2015-05-21Bibliographically approved

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Karlsson, Johan

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