TU Berlin

Dr. Sandra KeiperPublications

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S. Keiper
Recovery of binary sparse signals from structured biased measurements.
Submitted (2020).
A. Flinth and S. Keiper
Recovery of Binary Sparse Signals with Biased Measurement Matrices.
IEEE Trans. Inf. Theory (2019), 65.12, 8084-8094.
S. Keiper.
Approximation of Generalized Ridge Functions in High Dimensions.
J. Appr. Theory (2019), 245, 101-129.arxiv.org/pdf/1701.07018.pdf
S. Keiper, G. Kutyniok, D. G. Lee, and G. E. Pfander.
Compressed Sensing for Finite-Valued Signals.
Linear Algebra Appl. (2017), 532(1), 570-613.
P. Grohs, S. Keiper, G. Kutyniok, and M. Schäfer.
Appl. Comput. Harmon. Anal., 41(1):297-336, 2016.
P. Grohs, S. Keiper, G. Kutyniok, and M. Schäfer.
Cartoon Approximation with $\alpha$-Curvelets.
J. Fourier Anal. Appl., 22(6):1235-1293, 2016.
Begutachtete Konferenz-Publikationen
S. Keiper, G. Kutyniok, D. Lee, and G. Pfander.
Reconstruction of finite-valued sparse signals.
Wavelets and Sparsity XVII (San Diego, CA, 2017), 039415, SPIE Proc. 10394, SPIE, Bellingham, WA, 2017.
S. Keiper.
Analysis of generalized ridge functions in high dimensions.
2015 International Conference on Sampling Theory and Applications (SampTA), Washington, DC, 2015, pp. 259-263.
P. Grohs, S. Keiper, G. Kutyniok, and M. Schäfer.
Parabolic Molecules: Curvelets, Shearlets, and Beyond.
Approximation Theory XIV (San Antonio, TX, 2013), 141-172, Springer Proc. Math., 2014.
S. Keiper, G.Kutyniok, P. Grohs, and M. Schäfer.
Alpha-Molecules: Curvelets, Shearlets, Ridgelets, and Beyond.
Wavelets and Sparsity XV (San Diego, CA, 2013), 885804-1-885804-12, SPIE Proc. 8858, SPIE, Bellingham, WA, 2013.
Sandra Keiper
Approximation of Signals and Functions in High Dimensions with Low Dimensional Structure – Finite-Valued Sparse Signals and Generalized Ridge Functions.
Dissertation, TU Berlin, 2020.
Sandra Keiper
Analysis of Generalized High Dimensional Ridge Function.
Masterarbeit, TU Berlin, 2015.
Sandra Keiper
A Flexible Shearlet Transform - Sparse Aproximations and Dictionary Lerning, (PDF, 14,3 MB)
Bachelorarbeit, TU Berlin, 2012
1. Platz beim Dies Mathematicus: "Bester Abschluss 2012 (Bachelor)"


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