Phase retrieval for wavelet transforms

Abstract : This article describes a new algorithm that solves a particular phase retrieval problem, with important applications in audio processing: the reconstruction of a function from its scalogram, that is, from the modulus of its wavelet transform. It is a multiscale iterative algorithm, that reconstructs the signal from low to high frequencies. It relies on a new reformulation of the phase retrieval problem, that involves the holomorphic extension of the wavelet transform. This reformulation allows to propagate phase information from low to high frequencies. Numerical results, on audio and non-audio signals, show that reconstruction is precise and stable to noise. The complexity of the algorithm is linear in the size of the signal, up to logarithmic factors. It can thus be applied to large signals.
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Contributor : Irène Waldspurger <>
Submitted on : Wednesday, November 22, 2017 - 7:15:34 PM
Last modification on : Thursday, April 26, 2018 - 10:28:50 AM


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Irène Waldspurger. Phase retrieval for wavelet transforms. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2017. ⟨hal-01645088⟩



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