Designing Digital IIR Low-Pass Differentiators With Multi-Objective Optimization

摘要：

　　In this paper we examine the possibility of designing IIR low-pass differentiators by approaching it as a weighted multi-objective optimization problem and solving it with an unbiased metaheuristic search algorithm.By collecting several solutions with different sets of weights we are able to make a thorough comparison of different design strategies.We present possible designs that are realizable with (1) cascading classical IIR low-pass filters with appropriate operators,and (2) non-cascaded general IIR differentiator designs.Elliptical filters are found to be the most magnitude-optimal among the first type.However,the non-cascaded approach found more optimal IIR differentiators at the expense of a more complicated search.Finally,we present some non-cascaded general designs that compare favorably with the available designs given in literature,and which we reason are nearly optimal.

关键词： IIR Low-pass differentiators filter design multi-objective optimization metaheuristic

作者: St(a)le A.Skogstad Sverre Holm Mats H(o)vin

作者单位: Department of Informatics, University of Oslo, Norway

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 10-15

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）