Volume 1, Issue 1, January 2011 - DROPS - Schloss Dagstuhl
Volume 1, Issue 1, January 2011 - DROPS - Schloss Dagstuhl
Volume 1, Issue 1, January 2011 - DROPS - Schloss Dagstuhl
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126 11051 – Sparse Representations and Efficient Sensing of Data<br />
5 Seminar schedule<br />
Monday Vetterli Sampling in the Age of Sparsity<br />
Hansen Generalized Sampling and Infinite Dimensional Compressed Sensing<br />
Unser Stocastic models for sparse and piecewise smooth signals<br />
Pfander Sensing, Local Approximation and Quantization of Operators with<br />
Bandlimited Kohn-Nirenberg Symbols<br />
Ehler Random tight frames in directional statistics<br />
Pezeshki Compressed Sensing for High Resolution Image Inversion<br />
Tuesday Oswald Space Splittings and Schwarz-Southwell Iterations<br />
Raasch Quarkonial frames of wavelet type - Stability and moment conditions<br />
Starck Reconstructing and Analyzing Astrophysical Dark Matter Mass Maps<br />
using Sparsity<br />
Lim Optimally sparse image approximations using compactly supported<br />
shearlet frames<br />
Zhuang The Digital Shearlet Transform on Pseudo-polar Grids<br />
Lorenz Basis pursuit denoising: Exact test instances and exact recovery for<br />
ill-posed problems<br />
Discussion groups<br />
Wednesday Potts Parameter estimation for exponential sums by approximate Prony<br />
method<br />
Kunis Stable discretisations for sparse fast Fourier transforms<br />
Figueiredo Alternating Direction Optimization for Imaging Inverse Problems with<br />
Sparsity-Inducing Regularization<br />
Thursday Plonka-<br />
Hoch<br />
Sparse Approximation of Images by the Easy Path Wavelet Transform<br />
Bergmann Multivariate Periodic Function Spaces<br />
Steidl Halftoning, Quadrature Errors and Discrepancies<br />
Wojtaszczyk How ℓ1 -minimisation for RIP matrices reacts to measurement errors?<br />
Nam Cosparse Analysis Modeling<br />
Schiffler Sparsity for ill-posed and ill-conditioned problems<br />
Summary of discussion groups<br />
Friday Guleryuz A Majorization-minimization algorithm for sparse factorization and<br />
some related applications<br />
Friedrich Adaptive wavelet methods for inverse parabolic problems