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Phase Retrieval for [Formula omitted] via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements
Ist Teil von
The Journal of fourier analysis and applications, 2023-02, Vol.29 (1)
Ort / Verlag
Springer
Erscheinungsjahr
2023
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
In this paper, we focus on the approximation of smooth functions [Formula omitted], up to an unresolvable global phase ambiguity, from a finite set of Short Time Fourier Transform (STFT) magnitude (i.e., spectrogram) measurements. Two algorithms are developed for approximately inverting such measurements, each with theoretical error guarantees establishing their correctness. A detailed numerical study also demonstrates that both algorithms work well in practice and have good numerical convergence behavior.