Volume 1, Issue 1, January 2011 - DROPS - Schloss Dagstuhl

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110 11051 – Sparse Representations and Efficient Sensing of Data 2 Table of Contents Executive Summary Stephan Dahlke, Michael Elad, Yonina Eldar, Gitta Kutyniok, and Gerd Teschke . 108 Overview of Talks Multivariate Periodic Function Spaces Ronny Bergmann . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 Random tight frames and applications Martin Ehler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 Alternating Direction Optimization for Imaging Inverse Problems with Sparsity- Inducing Regularization Mario Figueiredo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 Adaptive wavelet methods for inverse parabolic problems Ulrich Friedrich . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 A Majorization-minimization algorithm for sparse factorization and some related applications Onur G. Guleryuz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 Stable discretizations of the hyperbolic cross fast Fourier transform Stefan Kunis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 Optimally Sparse Image Approximations Using Compactly Supported Shearlets Wang-Q Lim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Exact test instances for Basis Pursuit Denoising Dirk Lorenz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Cosparse Analysis Modeling – Uniqueness and Algorithms Sangnam Nam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 Space Splittings and Schwarz-Southwell Iterations Peter Oswald . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 Sparse Approximation of Images by the Easy Path Wavelet Transform Gerlind Plonka-Hoch . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 Quadrature errors, discrepancies and variational dithering Gabriele Steidl . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 Compressive sensing and inverse problems Gerd Teschke . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 Sampling in the Age of Sparsity Martin Vetterli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 Digital Shearlet Transform on Pseudo-Polar Grids Xiaosheng Zhuang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 Discussion Groups and Further Challenges Sampling and Compressed Sensing Martin Vetterli and Hans-Georg Feichtinger . . . . . . . . . . . . . . . . . . . . . . 123
Stephan Dahlke, Michael Elad, Yonina Eldar, Gitta Kutyniok, and Gerd Teschke 111 Frames, Adaptivity and Stability Rob Stevenson and Peter Oswald . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 Algorithms and Applications Michael Unser and Bruno Torresani . . . . . . . . . . . . . . . . . . . . . . . . . . 125 Seminar schedule . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Participants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 1 1 0 5 1
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Volume 1, Issue 1, January 2011 - DROPS - Schloss Dagstuhl

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