正三角多项式与一维离散相位反演问题

C. Rusu, J. Astola
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引用次数: 2

摘要

本文综述了有关舒尔变换的一些研究成果,以解决一维离散相位恢复问题。目的是提供一个测试序列输入幅度数据是否给出一维离散相位恢复问题的解决方案。以前已经证明,这个问题与三角多项式的非负性有关。所提出的方法类似于计算单位圆上0的多重数的表法。算例和数值结果表明,一维离散相位恢复问题往往是无解的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Positive trigonometric polynomials and one-dimensional discrete phase retrieval problem
In this paper some results on Schur transform are reviewed to address the problem of one-dimensional discrete phase retrieval. The goal is to provide a test whether a sequence of input magnitude data gives a solution to one-dimensional discrete phase retrieval problem. It has been previously shown that this issue is related to the nonnegativity of trigonometric polynomials. The proposed method is similar to the table procedure for counting the multiplicities of zeros on unit circle. Examples and numerical results are also provided to indicate that the problem of one-dimensional discrete phase retrieval often does not have a solution.
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