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
2492011
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
1882014
Stable and robust sampling strategies for compressive imaging
F Krahmer, R Ward
IEEE Trans. Image Proc. 23 (2), 612-622, 2014
156*2014
Blind image deconvolution: Motion blur estimation
F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg
1032006
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
902015
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
732017
Quantization and compressive sensing
PT Boufounos, L Jacques, F Krahmer, R Saab
Compressed sensing and its applications, 193-237, 2015
532015
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
502008
Optimally sparse frames
PG Casazza, A Heinecke, F Krahmer, G Kutyniok
IEEE transactions on information theory 57 (11), 7279-7287, 2011
492011
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
382014
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
362011
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
342017
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
312015
Compressive sensing with redundant dictionaries and structured measurements
F Krahmer, D Needell, R Ward
SIAM Journal on Mathematical Analysis 47 (6), 4606-4629, 2015
302015
Continuous amortization: A non-probabilistic adaptive analysis technique
M Burr, F Krahmer, C Yap
Electronic Colloquium on Computational Complexity (ECCC), TR09 (136), 2009
30*2009
Blind demixing and deconvolution at near-optimal rate
P Jung, F Krahmer, D Stöger
IEEE Transactions on Information Theory 64 (2), 704-727, 2017
272017
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
272012
Structured random measurements in signal processing
F Krahmer, H Rauhut
GAMM‐Mitteilungen 37 (2), 217-238, 2014
262014
Sparsity and spectral properties of dual frames
F Krahmer, G Kutyniok, J Lemvig
Linear Algebra and its Applications 439 (4), 982-998, 2013
242013
SqFreeEVAL: An (almost) optimal real-root isolation algorithm
MA Burr, F Krahmer
Journal of Symbolic Computation 47 (2), 153-166, 2012
242012
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Articles 1–20