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Design of reduced complexity linear-phase polyphase FIR filters using mixed integer linear programming
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Electronics System.ORCID iD: 0000-0003-3470-3911
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Electronics System.
2004 (English)In: Swedish System-on-Chip Conference 2004, 2004Conference paper, Published paper (Other academic)
Abstract [en]

In this work a mixed integer linear programming (MILP) formulation for the design of a class of linear-phase FIR filters are presented. The formulation can be solved using general purpose MILP solvers to obtain filter implementationwith a minimum number of signed-power-of-two (SPT) terms given a filter specification. The filter structures considered are based on reduced complexity polyphase decomposition. It is shown that the total number of SPT terms per sample can be reduced using this filter architecture. However, the savings are not as large as other work propose, when optimal design techniques are used.

Place, publisher, year, edition, pages
2004.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-23617Local ID: 3107OAI: oai:DiVA.org:liu-23617DiVA: diva2:243932
Conference
Swedish System-on-Chip Conference 2004, April 13-14, Båstad, Sweden
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2015-03-11Bibliographically approved

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Gustafsson, OscarWanhammar, Lars

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