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Proceedings Paper

A new local search method to design finite precision FIR filters
Author(s): Yi-Cheng Zeng; Shu-Hua Li; Mao-Lin Xu
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Paper Abstract

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 &Egr;(h) that describes a hyper-ellipse. If the search point is inside &Egr;(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.

Paper Details

Date Published: 12 January 2009
PDF: 6 pages
Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71331Z (12 January 2009); doi: 10.1117/12.810601
Show Author Affiliations
Yi-Cheng Zeng, Xiangtan Univ. (China)
Shu-Hua Li, Xiangtan Univ. (China)
Mao-Lin Xu, Institute of Beijing Information Technology (China)


Published in SPIE Proceedings Vol. 7133:
Fifth International Symposium on Instrumentation Science and Technology
Jiubin Tan; Xianfang Wen, Editor(s)

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