作者: Wu-Sheng Lu , T. Hinamoto
DOI: 10.1109/ISCAS.2006.1693136
关键词: Second-order cone programming 、 Filter design 、 Quadratic programming 、 Sequential quadratic programming 、 Mathematics 、 Algorithm design 、 Network synthesis filters 、 Mathematical optimization 、 Semidefinite programming 、 Convex optimization
摘要: A design algorithm based on second-order cone programming (SOCP) for minimax of 2-D FIR filters with low group delay is proposed. SOCP a special class convex problems that can be carried out considerably more efficiently than the popular semidefinite programming. The simulation studies presented in this paper also confirm filter context. proposed compared favorably recently method sequential quadratic expected to useful utility digital designers whose interest not limited linear phase responses and order filters.