STFT Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms
August 12, 2015 Β· Declared Dead Β· π IEEE Journal on Selected Topics in Signal Processing
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Authors
Kishore Jaganathan, Yonina C. Eldar, Babak Hassibi
arXiv ID
1508.02820
Category
cs.IT: Information Theory
Cross-listed
math.OC
Citations
119
Venue
IEEE Journal on Selected Topics in Signal Processing
Last Checked
4 months ago
Abstract
The problem of recovering a signal from its Fourier magnitude is of paramount importance in various fields of engineering and applied physics. Due to the absence of Fourier phase information, some form of additional information is required in order to be able to uniquely, efficiently and robustly identify the underlying signal. Inspired by practical methods in optical imaging, we consider the problem of signal reconstruction from the Short-Time Fourier Transform (STFT) magnitude. We first develop conditions under which the STFT magnitude is an almost surely unique signal representation. We then consider a semidefinite relaxation-based algorithm (STliFT) and provide recovery guarantees. Numerical simulations complement our theoretical analysis and provide directions for future work.
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