From completeness of discrete translates to phaseless sampling of the short-time Fourier transform

IF 2.1 3区 数学 Q2 MATHEMATICS, APPLIED
Philipp Grohs, Lukas Liehr, Irina Shafkulovska
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引用次数: 0

Abstract

We study the uniqueness problem in short-time Fourier transform phase retrieval by exploring a connection to the completeness problem of discrete translates. Specifically, we prove that functions in \( L^2(K) \) with \( K \subseteq {{\mathbb {R}}^d}\) compact, are uniquely determined by phaseless lattice-samples of its short-time Fourier transform with window function g, provided that specific density properties of translates of g are met. By proving completeness statements for systems of discrete translates in Banach function spaces on compact sets, we obtain new uniqueness statements for phaseless sampling on lattices beyond the known Gaussian window regime. Our results apply to a large class of window functions which are relevant in time-frequency analysis and applications.

从离散的完全性转换到短时傅里叶变换的无相采样
通过与离散平移的完备性问题的联系,研究了短时傅里叶变换相位检索中的唯一性问题。具体地说,我们证明了具有K \subseteq {{\mathbb {R}}^d} K \subseteq {{\mathbb {R}}^d}紧化的L^2(K)中的函数是由其带窗函数g的短时傅里叶变换的无相格样本唯一确定的,前提是满足g的平移的特定密度性质。通过证明紧集上Banach函数空间中离散平移系统的完备性命题,得到了已知高斯窗区以外格上无相抽样的唯一性命题。我们的结果适用于与时频分析和应用相关的一大类窗函数。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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