Follow
Felix Krahmer
Felix Krahmer
Associate 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
3342011
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
2622014
Stable and robust sampling strategies for compressive imaging
F Krahmer, R Ward
IEEE Trans. Image Proc. 23 (2), 612-622, 2014
212*2014
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
1242015
Blind image deconvolution: Motion blur estimation
F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg
1182006
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
1162017
On unlimited sampling
A Bhandari, F Krahmer, R Raskar
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
962017
Quantization and compressive sensing
PT Boufounos, L Jacques, F Krahmer, R Saab
Compressed Sensing and its Applications: MATHEON Workshop 2013, 193-237, 2015
872015
On unlimited sampling and reconstruction
A Bhandari, F Krahmer, R Raskar
IEEE Transactions on Signal Processing 69, 3827-3839, 2020
822020
Group testing for SARS-CoV-2 allows for up to 10-fold efficiency increase across realistic scenarios and testing strategies
CM Verdun, T Fuchs, P Harar, D Elbrächter, DS Fischer, J Berner, ...
Frontiers in Public Health 9, 583377, 2021
642021
Unlimited sampling from theory to practice: Fourier-Prony recovery and prototype ADC
A Bhandari, F Krahmer, T Poskitt
IEEE Transactions on Signal Processing 70, 1131-1141, 2021
622021
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
622017
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
582008
Unlimited sampling of sparse signals
A Bhandari, F Krahmer, R Raskar
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
562018
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
562011
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
552015
Optimally sparse frames
PG Casazza, A Heinecke, F Krahmer, G Kutyniok
IEEE transactions on information Theory 57 (11), 7279-7287, 2011
552011
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
482014
Blind demixing and deconvolution at near-optimal rate
P Jung, F Krahmer, D Stöger
IEEE Transactions on Information Theory 64 (2), 704-727, 2017
462017
Unlimited sampling of sparse sinusoidal mixtures
A Bhandari, F Krahmer, R Raskar
2018 IEEE International Symposium on Information Theory (ISIT), 336-340, 2018
412018
The system can't perform the operation now. Try again later.
Articles 1–20