Phase retrieval for \(L^2([-\pi, \pi])\) via the provably accurate and noise robust numerical inversion of spectrogram measurements
DOI10.1007/s00041-022-09988-6OpenAlexW4313421353MaRDI QIDQ2686572
Aditya Viswanathan, Nada Sissouno, Michael Perlmutter, Mark A. Iwen
Publication date: 28 February 2023
Published in: The Journal of Fourier Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2106.02517
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type (42A38) Sampling theory in information and communication theory (94A20)
Related Items (1)
Cites Work
- Alternating projection, ptychographic imaging and phase synchronization
- Improved recovery guarantees for phase retrieval from coded diffraction patterns
- Reconstruction of bandlimited functions from unsigned samples
- Uniqueness results in an extension of Pauli's phase retrieval problem
- Phase-retrieval in shift-invariant spaces with Gaussian generator
- Phase retrieval
- Phase retrieval from local measurements: improved robustness via eigenvector-based angular synchronization
- Stable phase retrieval in infinite dimensions
- Lower Lipschitz bounds for phase retrieval from locally supported measurements
- On signal reconstruction without phase
- Phase retrieval from coded diffraction patterns
- Uniqueness of STFT phase retrieval for bandlimited functions
- Phase Retrieval with Polarization
- Introduction to Smooth Manifolds
- Fast Phase Retrieval from Local Correlation Measurements
- On the Determination of the Phase of a Fourier Integral, I
- On the Determination of the Phase of a Fourier Integral, II
- Inverting spectrogram measurements via aliased Wigner distribution deconvolution and angular synchronization
- Iterated Tikhonov regularization with a general penalty term
- Phase Retrieval via Matrix Completion
This page was built for publication: Phase retrieval for \(L^2([-\pi, \pi])\) via the provably accurate and noise robust numerical inversion of spectrogram measurements