PCLS optimization of complex FIR digital filters and windows

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Pub Date : 1997-11-02 DOI:10.1109/ACSSC.1997.680533

J. L. Sullivan, J.W. Adams

引用次数: 4

Abstract

Peak-constrained least-squares (PCLS) optimization is a relatively new approach to solving digital filter design problems. Motivations for the PCLS optimality criterion are discussed previously. However, the PCLS examples and design methods proposed by Adams (1991) and Adams, Sullivan and Hashemi (1993) are focused on real symmetric FIR digital filters and windows. In this paper we extend the PCLS approach to the design of complex FIR digital filters and windows.

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复杂FIR数字滤波器和窗口的PCLS优化

峰值约束最小二乘(PCLS)优化是解决数字滤波器设计问题的一种较新的方法。PCLS最优性准则的动机已在前面讨论过。然而，Adams(1991)和Adams, Sullivan和Hashemi(1993)提出的PCLS示例和设计方法侧重于真实对称FIR数字滤波器和窗口。本文将PCLS方法扩展到复杂FIR数字滤波器和窗口的设计中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)

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