Research reports

Unique wavelet sign retrieval from samples without bandlimiting

by R. Alaifari and F. Bartolucci and M. Wellershoff

(Report number 2023-16)

Abstract
We study the problem of recovering a signal from magnitudes of its wavelet frame coefficients when the analyzing wavelet is real-valued. We show that every real-valued signal can be uniquely recovered, up to global sign, from its multi-wavelet frame coefficients \[ \{\lvert \mathcal{W}_{\phi_i} f(\alpha^{m}\beta n,\alpha^{m}) \rvert: i\in\{1,2,3\}, m,n\in\mathbb{Z}\} \] for every $\alpha>1,\beta>0$ with $\beta\ln(\alpha)\leq 4\pi/(1+4p)$, $p>0$, when the three wavelets $\phi_i$ are suitable linear combinations of the Poisson wavelet $P_p$ of order $p$ and its Hilbert transform $\mathscr{H}P_p$. For complex-valued signals we find that this is not possible for any choice of the parameters $\alpha>1,\beta>0$ and for any window. In contrast to the existing literature on wavelet sign retrieval, our uniqueness results do not require any bandlimiting constraints or other a priori knowledge on the real-valued signals to guarantee their unique recovery from the absolute values of their wavelet coefficients.

Keywords: Phase retrieval, Wavelet transform, Cauchy wavelet, Poisson wavelet, weighted Bergman space, Wavelet frame, Sampling theorem

BibTeX
@Techreport{ABW23_1053,
  author = {R. Alaifari and F. Bartolucci and M. Wellershoff},
  title = {Unique wavelet sign retrieval from samples without bandlimiting},
  institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich},
  number = {2023-16},
  address = {Switzerland},
  url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2023/2023-16.pdf },
  year = {2023}
}

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