Felix Krahmer
Felix Krahmer
Assistant Professor for Optimization and Data Analysis, Technische Universität München
Verified email at ma.tum.de
Title
Cited by
Cited by
Year
New and improved Johnson–Lindenstrauss embeddings via the restricted isometry property
F Krahmer, R Ward
SIAM Journal on Mathematical Analysis 43 (3), 1269-1281, 2011
2922011
Suprema of chaos processes and the restricted isometry property
F Krahmer, S Mendelson, H Rauhut
Communications on Pure and Applied Mathematics 67 (11), 1877-1904, 2014
2252014
Stable and robust sampling strategies for compressive imaging
F Krahmer, R Ward
IEEE Trans. Image Proc. 23 (2), 612-622, 2014
182*2014
Blind image deconvolution: Motion blur estimation
F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg
1112006
A partial derandomization of phaselift using spherical designs
D Gross, F Krahmer, R Kueng
Journal of Fourier Analysis and Applications 21 (2), 229-266, 2015
1102015
Improved recovery guarantees for phase retrieval from coded diffraction patterns
D Gross, F Krahmer, R Kueng
Applied and Computational Harmonic Analysis 42 (1), 37-64, 2017
952017
Quantization and compressive sensing
PT Boufounos, L Jacques, F Krahmer, R Saab
Compressed sensing and its applications, 193-237, 2015
742015
Uncertainty in time–frequency representations on finite Abelian groups and applications
F Krahmer, GE Pfander, P Rashkov
Applied and Computational Harmonic Analysis 25 (2), 209-225, 2008
542008
Optimally sparse frames
PG Casazza, A Heinecke, F Krahmer, G Kutyniok
IEEE transactions on information Theory 57 (11), 7279-7287, 2011
532011
Optimal injectivity conditions for bilinear inverse problems with applications to identifiability of deconvolution problems
M Kech, F Krahmer
SIAM Journal on Applied Algebra and Geometry 1 (1), 20-37, 2017
472017
Sigma–delta quantization of sub-gaussian frame expansions and its application to compressed sensing
F Krahmer, R Saab, Ö Yilmaz
Information and Inference: A Journal of the IMA 3 (1), 40-58, 2014
462014
An optimal family of exponentially accurate one‐bit Sigma‐Delta quantization schemes
P Deift, F Krahmer, CS Güntürk
Communications on Pure and Applied Mathematics 64 (7), 883-919, 2011
452011
On unlimited sampling
A Bhandari, F Krahmer, R Raskar
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
432017
A novel compressed sensing scheme for photoacoustic tomography
M Sandbichler, F Krahmer, T Berer, P Burgholzer, M Haltmeier
SIAM Journal on Applied Mathematics 75 (6), 2475-2494, 2015
412015
Blind demixing and deconvolution at near-optimal rate
P Jung, F Krahmer, D Stöger
IEEE Transactions on Information Theory 64 (2), 704-727, 2017
402017
Continuous amortization: A non-probabilistic adaptive analysis technique
M Burr, F Krahmer, C Yap
Electronic Colloquium on Computational Complexity (ECCC), TR09 (136), 2009
36*2009
Compressive sensing with redundant dictionaries and structured measurements
F Krahmer, D Needell, R Ward
SIAM Journal on Mathematical Analysis 47 (6), 4606-4629, 2015
342015
Root-exponential accuracy for coarse quantization of finite frame expansions
F Krahmer, R Saab, R Ward
IEEE transactions on information theory 58 (2), 1069-1079, 2012
332012
Structured random measurements in signal processing
F Krahmer, H Rauhut
GAMM‐Mitteilungen 37 (2), 217-238, 2014
322014
Unlimited sampling of sparse signals
A Bhandari, F Krahmer, R Raskar
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
292018
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