Phase retrieval

Results: 39



#Item
1STABLE GABOR PHASE RETRIEVAL AND SPECTRAL CLUSTERING PHILIPP GROHS AND MARTIN RATHMAIR Abstract. We consider the problem of reconstructing a signal f from its spectrogram, i.e., the magnitudes |Vϕ f | of its Gabor trans

STABLE GABOR PHASE RETRIEVAL AND SPECTRAL CLUSTERING PHILIPP GROHS AND MARTIN RATHMAIR Abstract. We consider the problem of reconstructing a signal f from its spectrogram, i.e., the magnitudes |Vϕ f | of its Gabor trans

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Source URL: mat.univie.ac.at

Language: English - Date: 2017-05-31 08:57:27
    2Phase Retrieval, MAXCUT and Complex Semidefinite Programming Alexandre d’Aspremont, CNRS & Ecole Polytechnique, with Fajwel Fogel, Ir` ene Waldspurger and St´

    Phase Retrieval, MAXCUT and Complex Semidefinite Programming Alexandre d’Aspremont, CNRS & Ecole Polytechnique, with Fajwel Fogel, Ir` ene Waldspurger and St´

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    Source URL: www.di.ens.fr

      3Phase Retrieval, New Results on an Old Problem. ´ Alex d’Aspremont, CNRS & Ecole Normale Sup´erieure, Paris,

      Phase Retrieval, New Results on an Old Problem. ´ Alex d’Aspremont, CNRS & Ecole Normale Sup´erieure, Paris,

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      Source URL: www.di.ens.fr

      - Date: 2014-10-27 08:26:32
        4Combined Multi-Plane Tomographic Phase Retrieval and Stochastic Optical Fluctuation Imaging for 4D Cell Microscopy A. Descloux1#, K. S. Grußmayer1#, E. Bostan2,3, T. Lukes1, A. Bouwens1, A. Sharipov1, S. Geissbuehler1,

        Combined Multi-Plane Tomographic Phase Retrieval and Stochastic Optical Fluctuation Imaging for 4D Cell Microscopy A. Descloux1#, K. S. Grußmayer1#, E. Bostan2,3, T. Lukes1, A. Bouwens1, A. Sharipov1, S. Geissbuehler1,

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        Source URL: arxiv.org

        - Date: 2017-05-16 20:08:54
          5Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval arXiv:1705.02356v1 [math.ST] 5 MayJohn C. Duchi

          Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval arXiv:1705.02356v1 [math.ST] 5 MayJohn C. Duchi

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          Source URL: arxiv.org

          - Date: 2017-05-08 20:23:02
            6Provable Non-convex Phase Retrieval with Outliers: Median Truncated Wirtinger Flow

            Provable Non-convex Phase Retrieval with Outliers: Median Truncated Wirtinger Flow

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            Source URL: jmlr.org

            - Date: 2016-10-08 19:36:42
              77A.6	 Assimilating	Compact	Phase	Space	Retrievals	(CPSRs):		Comparison	with	 	 independent	observations	(MOZAIC	in	situ	and	IASI	retrievals)	and	extension to	assimilation	of	retrieval	partial	columns.

              7A.6 Assimilating Compact Phase Space Retrievals (CPSRs): Comparison with independent observations (MOZAIC in situ and IASI retrievals) and extension to assimilation of retrieval partial columns.

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              Source URL: www2.mmm.ucar.edu

              Language: English - Date: 2016-06-16 12:19:59
              8Oversampling smoothness: an effective algorithm for phase retrieval of noisy diffraction intensitiesThis article forms part of a special issue dedicated to advanced diffraction imaging methods of materials, which will be

              Oversampling smoothness: an effective algorithm for phase retrieval of noisy diffraction intensitiesThis article forms part of a special issue dedicated to advanced diffraction imaging methods of materials, which will be

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              Source URL: www.physics.ucla.edu

              Language: English - Date: 2013-03-13 00:43:26
                9Compressive Phase Retrieval via Lifting Henrik Ohlsson†,* , Allen Y. Yang* , Roy Dong* , and S. Shankar Sastry* † Div. of Automatic Control, Department of Electrical Engineering, Link¨oping University, Sweden. Depar

                Compressive Phase Retrieval via Lifting Henrik Ohlsson†,* , Allen Y. Yang* , Roy Dong* , and S. Shankar Sastry* † Div. of Automatic Control, Department of Electrical Engineering, Link¨oping University, Sweden. Depar

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                Source URL: snowbird.djvuzone.org

                Language: English - Date: 2012-02-02 13:20:41
                  10QUASI-LINEAR COMPRESSED SENSING MARTIN EHLER∗ , MASSIMO FORNASIER† , AND JULIANE SIGL‡ Abstract. Inspired by significant real-life applications, in particular, sparse phase retrieval and sparse pulsation frequency

                  QUASI-LINEAR COMPRESSED SENSING MARTIN EHLER∗ , MASSIMO FORNASIER† , AND JULIANE SIGL‡ Abstract. Inspired by significant real-life applications, in particular, sparse phase retrieval and sparse pulsation frequency

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                  Source URL: www-m15.ma.tum.de

                  Language: English - Date: 2013-07-19 08:40:48