An averaging method for the Fourier approximation to discontinuous functions

Citations

WEB OF SCIENCE

4
Citations

SCOPUS

4

초록

Both the truncated Fourier integral and the truncated Fourier series approximations for a discontinuous function bring about the inevitable oscillating error, say, the Gibbs phenomenon. Most basic filtering methods for the Gibbs phenomenon like the Fejer averaging method and the Lanczos averaging method have a disadvantage that the rise time is very slow even though the filtering effect is prominent away from the discontinuity. In this paper, we propose a new averaging method of polynomial type which improves the rise time of the existing method. The present method can be regarded as a generalization of the traditional Lanczos averaging method. By several numerical examples, we show the efficiency of the present method. (c) 2006 Elsevier Inc. All rights reserved.

키워드

Gibbs phenomenonFourier integralFourier seriesLanczos averaging methodRECOVERING EXPONENTIAL ACCURACYPOINT GIBBS PHENOMENONPARTIAL SUMRESOLUTIONSERIES
제목
An averaging method for the Fourier approximation to discontinuous functions
저자
Yun, Beong InKim, Hyun ChulRim, Kyung Soo
DOI
10.1016/j.amc.2006.05.060
발행일
2006-12-01
유형
Article
저널명
Applied Mathematics and Computation
183
1
페이지
272 ~ 284