首页> 外文会议>International conference on mathematical methods for curves and surfaces >Reconstructing Sparse Exponential Polynomials from Samples: Difference Operators, Stirling Numbers and Hermite Interpolation
【24h】

Reconstructing Sparse Exponential Polynomials from Samples: Difference Operators, Stirling Numbers and Hermite Interpolation

机译:从样本重构稀疏指数多项式:差分算子,斯特林数和厄米插值

获取原文

摘要

Prony's method, in its various concrete algorithmic realizations, is concerned with the reconstruction of a sparse exponential sum from integer samples. In several variables, the reconstruction is based on finding the variety for a zero dimensional radical ideal. If one replaces the coefficients in the representation by polynomials, i.e., tries to recover sparse exponential polynomials, the zeros associated to the ideal have multiplicities attached to them. The precise relationship between the coefficients in the exponential polynomial and the multiplicity spaces are pointed out in this paper.
机译:Prony的方法,在其各种具体的算法实现中,涉及从整数样本中重建稀疏指数和。在几个变量中,重建是基于找到零维根基理想的多样性而进行的。如果用多项式代替表示中的系数,即试图恢复稀疏指数多项式,则与理想关联的零将具有多重性。指出了指数多项式中的系数与多重空间之间的精确关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号