A new local search method to design finite precision FIR filters

摘要：

This paper proposes a new local search method for the design of FIR filters with low complexity finite precision coefficients based on the optimality criterion of peak constrained least squares. In order to improve search efficient and reduce invalid search steps, the proposed method adjusts the coefficient offsetting strategy conditionally and utilizes the geometric properties of the object function ε(h) that describes a hyper-ellipse. If the search point is inside ε(h), it is selected, so the search trapped in an infeasible region is avoided. The tradeoff between coefficient complexity and PSR is got. Numerical experiments show that the proposed method holds better performance than the existed methods in terms of the search efficiency.

关键词： Peak Constrained Least Squares Finite Precision Coefficient Discrete Lagrangian Method Local Search

作者: Zeng Yi-Cheng Li Shu-Hua Xu Mao-Lin

作者单位: Dept. of Photoelectric Engineering, Xiangtan Univ., Xiangtan, Hunan, 411105, China Appl. Math. Group, Institute of Beijing Information Technology, Beijing, 100101, China

会议类型: 国际会议

会议名称: 第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2008-09-15（万方平台首次上网日期，不代表论文的发表时间）