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arXiv 2106.01018math.FA
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短时傅里叶变换的采样轨迹

Sampling trajectories for the short-time Fourier transform

Michael Speckbacher

摘要:

本文研究了从$\R^2$中的轨迹采样中稳定重建短时傅里叶变换的问题。我们首先考虑相对密度的轨迹和重建属性之间的相互作用。稍后,我们考虑螺旋曲线,一类特殊的轨迹,并连接这些集的采样和唯一性。此外,我们表明,由一个线性组合的埃尔米特函数的窗口函数,它确实是可能的稳定重建从一些特定的自然选择的螺旋曲线的样本。

英文摘要:

We study the problem of stable reconstruction of the short-time Fourier transform from samples taken from trajectories in $\R^2$. We first consider the interplay between relative density of the trajectory and the reconstruction property. Later, we consider spiraling curves, a special class of trajectories, and connect sampling and uniqueness properties of these sets. Moreover, we show that for window functions given by a linear combination of Hermite functions, it is indeed possible to stably reconstruct from samples on some particular natural choices of spiraling curves.

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