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首页> 外文期刊>Journal of Scientific Computing >Edge Detection Free Postprocessing for Pseudospectral Approximations
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Edge Detection Free Postprocessing for Pseudospectral Approximations

机译:伪谱近似的免费边缘检测后处理

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摘要

Pseudospectral Methods based on global polynomial approximation yield exponential accuracy when the underlying function is analytic. The presence of discontinuities destroys the extreme accuracy of the methods and the well-known Gibbs phenomenon appears. Several types of postprocessing methods have been developed to lessen the effects of the Gibbs phenomenon or even to restore spectral accuracy. The most powerful of the methods require that the locations of the discontinuities be precisely known. In this work we discuss postprocessing algorithms that are applicable when it is impractical, or difficult, or undesirable to pinpoint all discontinuity locations.
机译:当基础函数被解析时,基于全局多项式逼近的伪谱方法产生指数精度。不连续性的存在破坏了方法的极端准确性,并且出现了众所周知的吉布斯现象。已经开发了几种类型的后处理方法来减轻吉布斯现象的影响,甚至恢复光谱的准确性。最强大的方法要求精确知道间断的位置。在这项工作中,我们讨论了后处理算法,该算法适用于无法确定或难以确定所有不连续位置的情况。

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