Filter Design with Hard Spectral Constraints
2014 (English)In: Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, 2014, 391-395 p.Conference paper (Refereed)
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.
IdentifiersURN: urn:nbn:se:uu:diva-234687OAI: oai:DiVA.org:uu-234687DiVA: diva2:757552
22nd European Signal Processing Conference , EUSIPCO, Lisbon, 1-5 Sept. 2014