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Sara Krause-Solberg

Sara logotum.gif logoMath.gif logoMath.gif
Position Postdoctoral Researcher
E-mail sara.krause-solbergematma.tum.de
Telephone +49 (0) 89 289 17480
Room 02.10.054
Address Faculty of Mathematics
Boltzmannstraße 3
85748 Garching (Munich)
Germany

Publications

S. Krause-Solberg, O. Graf, and F. Krahmer. One-bit sigma-delta modulation on a closed loopIn Proceedings of IEEE Statistical Signal Processing Workshop 2018, to appear in 2018.
S. Krause-Solberg and J. Maly. A tractable approach for one-bit Compressed Sensing on manifolds. In Proceedings 2017 International Conference on Sampling Theory and Applications, pp. 667–671. Tallinn, 2017.
S. Krause-Solber, M. Guillemard and A. Iske. On the Construction of Non-Negative Dimensionality Reduction Methods. Sampling Theory in Signal and Image Processing (16), pp. 23-36, 2017.
S. Krause-Solberg and A. Iske. Non-Negative Dimensionality Reduction for Audio Signal Separation by NNMF and ICA. In Proceedings IEEE International Conference on Sampling Theory and Applications, pp. 377–381. Washington, 2015.
M. Guillemard, D. Heinen, A. Iske, S. Krause-Solberg, and G. Plonka. Adaptive Approximation Algorithms for Sparse Data Representation. In S. Dahlke, W. Dahmen, M. Griebel, W. Hackbusch, K. Ritter, R. Schneider, C. Schwab, and H. Yserentant, editors, Extraction of Quantifiable Information from Complex Systems, volume 102 of Lecture Notes in Computational Science and Engineering, chapter Adaptive Approximation Algorithms for Sparse Data Representation, pp. 281–302. Springer, 2014.
M. Guillemard, A. Iske, and S. Krause-Solberg. Dimensionality Reduction Methods in Independent Subspace Analysis for Signal Detection. In Proceedings of the 9th International Conference on Sampling Theory and Applications, Singapore, 2011.

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2016
| January 1 | started her work as a postdoctoral researcher at the chair for Applied Numerical Analysis |-->