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Phaseless inverse discrete Hilbert transform and determination of signals in shift-invariant space

机译:释放逆离散希尔伯特变换和换档空间中信号的确定

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In this paper, we first address the uniqueness of phaseless inverse discrete Hilbert transform (phaseless IDHT for short) from the magnitude of discrete Hilbert transform (DHT for short). The measurement vectors of phaseless IDHT do not satisfy the complement property, a traditional requirement for ensuring the uniqueness of phase retrieval. Consequently, the uniqueness problem of phaseless IDHT is essentially different from that of the traditional phase retrieval. For the phaseless IDHT related to compactly supported functions, conditions are given in our first main theorem to ensure the uniqueness. A condition on the step size of DHT is crucial for the insurance. The second main theorem concerns the uniqueness related to noncompactly supported functions. It is not the trivial generalization of the first main theorem. Our third main result is on the determination of signals in shift-invariant spaces by phaseless IDHT. Note that the measurements used for the determination are the DHT magnitudes. They are the approximations to the Hilbert transform magnitudes. Recall that for the existing methods of phaseless sampling (a special phase-retrieval problem), to determine a signal depends on the exact measurements but not the approximative ones. Therefore, our determination method is essentially different from the traditional phaseless sampling. Numerical simulations are conducted to examine the efficiency of phaseless IDHT and its application in determining signals in spline Hilbert shift-invariant space.
机译:在本文中,我们首先从离散希尔伯特变换(DHT短暂)的幅度来解决识别逆离散希尔伯特(短路释放IDHT)的独特性。污垢IDHT的测量载体不满足补体性,这是确保阶段检索唯一性的传统要求。因此,挖掘IDHT的唯一性问题与传统阶段检索的唯一性问题基本上不同。对于与紧凑支持的功能相关的挖掘IDHT,在我们的第一个主要定理中给出了条件,以确保唯一性。 DHT的步长的条件对于保险至关重要。第二个主要定理涉及与非行动支持的功能相关的唯一性。这不是第一个主要定理的琐碎概括。我们的第三个主要结果是通过挖掘IDHT确定移位不变空间中的信号。注意,用于确定的测量是DHT大小。它们是与希尔伯特变换大小的近似值。回想一下,对于淘汰采样(特殊阶段检索问题)的现有方法,确定信号取决于精确测量而不是近似值。因此,我们的确定方法与传统的扫描采样基本上不同。进行数值模拟以检测污染IDHT的效率及其在确定条形HILBERT移位空间中的信号中的应用。

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