Design of reduced complexity linear-phase polyphase FIR filters using mixed integer linear programming
2004 (English)In: Swedish System-on-Chip Conference 2004, 2004Conference paper (Other academic)
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
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-23617Local ID: 3107OAI: oai:DiVA.org:liu-23617DiVA: diva2:243932
Swedish System-on-Chip Conference 2004, April 13-14, Båstad, Sweden