GLOBAL NONLINEAR NOISE REDUCTION USING RADIAL BASIS FUNCTIONS

被引：10
|
作者：
Holzfuss, Joachim [1 ]
Kadtke, James [2 ]
机构：
[1] TH Darmstadt, Inst Angew Phys, Schlossgartenstr 7, D-64289 Darmstadt, Germany
[2] Univ Calif San Diego, Inst Pure & Appl Phys Sci, La Jolla, CA 92093 USA
来源：
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 1993年 / 3卷 / 03期
关键词：
D O I：
10.1142/S0218127493000489
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A global nonlinear technique for noise reduction is described which is able to separate a noise source from a periodic or chaotic signal. The method is based on interpolation of the global flow of nonlinear dynamical systems with radial basis functions. Preliminary results indicate it provides a considerable increase of the signal-to-noise ratio. The algorithm is described in detail and numerical examples are given.
引用
收藏
页码：589 / 596
页数：8
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