Felix Krahmer
Felix Krahmer
Assistant Professor for Optimization and Data Analysis, Technische Universität München
Bestätigte E-Mail-Adresse bei ma.tum.de
Zitiert von
Zitiert von
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
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
Stable and robust sampling strategies for compressive imaging
F Krahmer, R Ward
IEEE Trans. Image Proc. 23 (2), 612-622, 2014
Blind image deconvolution: Motion blur estimation
F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg
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
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
Quantization and compressive sensing
PT Boufounos, L Jacques, F Krahmer, R Saab
Compressed sensing and its applications, 193-237, 2015
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
Optimally sparse frames
PG Casazza, A Heinecke, F Krahmer, G Kutyniok
IEEE transactions on information Theory 57 (11), 7279-7287, 2011
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
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
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
On unlimited sampling
A Bhandari, F Krahmer, R Raskar
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
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
Blind demixing and deconvolution at near-optimal rate
P Jung, F Krahmer, D Stöger
IEEE Transactions on Information Theory 64 (2), 704-727, 2017
Continuous amortization: A non-probabilistic adaptive analysis technique
M Burr, F Krahmer, C Yap
Electronic Colloquium on Computational Complexity (ECCC), TR09 (136), 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
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
Structured random measurements in signal processing
F Krahmer, H Rauhut
GAMM‐Mitteilungen 37 (2), 217-238, 2014
Unlimited sampling of sparse signals
A Bhandari, F Krahmer, R Raskar
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
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