Thomas Arildsen
Citeret af
Citeret af
Sustainable computational science: the ReScience initiative
NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ...
PeerJ Computer Science 3, e142, 2017
Structure assisted compressed sensing reconstruction of undersampled AFM images
CS Oxvig, T Arildsen, T Larsen
Ultramicroscopy 172, 1-9, 2017
Demodulating subsampled direct sequence spread spectrum signals using compressive signal processing
K Fyhn, T Arildsen, T Larsen, SH Jensen
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
Reconstruction algorithms in undersampled AFM imaging
T Arildsen, CS Oxvig, PS Pedersen, J Østergaard, T Larsen
IEEE Journal of Selected Topics in Signal Processing 10 (1), 31-46, 2016
Sensitivity of the random demodulation framework to filter tolerances
PJ Pankiewicz, T Arildsen, T Larsen
2011 19th European Signal Processing Conference, 534-538, 2011
Compressed sensing with linear correlation between signal and measurement noise
T Arildsen, T Larsen
Signal Processing 98, 275-283, 2014
Reconstruction of undersampled atomic force microscopy images: Interpolation versus basis pursuit
TL Jensen, T Arildsen, J Østergaard, T Larsen
2013 International Conference on Signal-Image Technology & Internet-Based …, 2013
Improving smoothed l0 norm in compressive sensing using adaptive parameter selection
CS Oxvig, PS Pedersen, T Arildsen, T Larsen
arXiv preprint arXiv:1210.4277, 2012
Magni: A python package for compressive sampling and reconstruction of atomic force microscopy images
C Oxvig, P Pedersen, T Arildsen, J Østergaard, T Larsen
Journal of Open Research Software 2 (1), 2014
Reducing the computational complexity of reconstruction in compressed sensing nonuniform sampling
R Grigoryan, TL Jensen, T Arildsen, T Larsen
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
Model-based calibration of filter imperfections in the random demodulator for compressive sensing
PJ Pankiewicz, T Arildsen, T Larsen
arXiv preprint arXiv:1303.6135, 2013
On predictive coding for erasure channels using a Kalman framework
T Arildsen, MN Murthi, SV Andersen, SH Jensen
IEEE Transactions on Signal Processing 57 (11), 4456-4466, 2009
On Predictive Coding for Erasure Channels Using a Kalman Framework
T Arildsen, MN Murthi, SV Andersen, SH Jensen
17th European Signal Processing Conference (EUSIPCO), 1646-1650, 2009
Performance comparison of reconstruction algorithms in discrete blind multi-coset sampling
R Grigoryan, T Arildsen, D Tandur, T Larsen
2012 IEEE International Symposium on Signal Processing and Information …, 2012
Compressed sensing with rank deficient dictionaries
TL Hansen, DH Johansen, PB Jørgensen, KF Trillingsgaard, T Arildsen, ...
2012 IEEE Global Communications Conference (GLOBECOM), 3594-3599, 2012
Storing reproducible results from computational experiments using scientific Python packages
CS Oxvig, T Arildsen, T Larsen
Scientific Computing with Python 2016, 45-50, 2016
Surpassing the theoretical 1-norm phase transition in compressive sensing by tuning the smoothed l0 algorithm
CS Oxvig, PS Pedersen, T Arildsen, T Larsen
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Generation and Analysis of Constrained Random Sampling Patterns
J Pierzchlewski, T Arildsen
Circuits, Systems, and Signal Processing 35 (10), 3619-3643, 2016
WLCp2-09: Novel IP Header Compression Technique for Wireless Technologies with Fixed Link Layer Packet Types
TK Madsen, FHP Fitzek, S Nethi, T Arildsen, GP Perrucci
IEEE Globecom 2006, 1-5, 2006
PR Turner, T Arildsen, K Kavanagh
Applied Scientific Computing, 189-228, 2018
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