Phaseless sampling on square-root lattices
Philipp Grohs, Lukas Liehr

TL;DR
This paper introduces a novel sampling scheme using square-root lattices that guarantees unique phase retrieval in short-time Fourier transform (STFT) analysis, overcoming limitations of traditional lattice sampling.
Contribution
It demonstrates that square-root lattices enable unique STFT phase retrieval for a broad class of window functions, including Gaussians, which was previously unachievable with regular lattices.
Findings
Square-root lattices guarantee uniqueness in STFT phase retrieval.
Traditional lattices cannot ensure uniqueness, highlighting the significance of the new sampling scheme.
The results apply to a wide class of window functions, including Gaussians.
Abstract
Due to its appearance in a remarkably wide field of applications, such as audio processing and coherent diffraction imaging, the short-time Fourier transform (STFT) phase retrieval problem has seen a great deal of attention in recent years. A central problem in STFT phase retrieval concerns the question for which window functions and which sampling sets is every uniquely determined (up to a global phase factor) by phaseless samples of the form where denotes the short-time Fourier transform (STFT) of with respect to . The investigation of this question constitutes a key step towards making the problem computationally tractable. However, it deviates from ordinary sampling tasks in a fundamental and subtle…
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Taxonomy
TopicsAdvanced X-ray Imaging Techniques · Seismic Imaging and Inversion Techniques · Medical Imaging Techniques and Applications
