Tobias Lindstrøm Jensen
received his M.Sc. in Electrical Engineering from Aalborg University in 2007 and Ph.D. degree in 2011. In 2007, he was an intern at Wipro-NewLogic Technologies in Sophia-Antipolis, France. In 2009 and 2016 he was a visiting researcher at University of California, Los Angeles (UCLA).

TLJ is currently an associate professor at the Department of Electronic Systems, Aalborg University, funded by the Danish Council for Independent Research under an individual post-doc grant with Sapere Aude (former Danish Council for Independent Research Young Researcher's Award). His research interests includes optimization algorithms, inverse problems and estimation, signal and image processing, signal processing for communications, numerical algorithms and computing. TLJ is a reviewer for e.g. IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Audio, Speech and Language Processing, EURASIP Journal on Advanced Signal Processing.

2017

J.K. Nielsen, T.L. Jensen, J.R. Jensen, M.G. Christensen, S.H. Jensen, Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient , Signal Processing, 135, pp. 188-197, June 2017. [ paper and code ]

J.K. Nielsen, T.L. Jensen, J.R. Jensen, M.G. Christensen and S.H. Jensen, Fast Harmonic Chirp Summation , ICASSP 2017 [ paper ]

T.L. Jensen and L. Vandenberghe, Multi-pitch Estimation using Semidefinite Programming , ICASSP 2017 [ paper and code ]

T.L. Jensen and M. Diehl, An Approach for Analyzing the Global Rate of Convergence of Quasi-Newton and Truncated-Newton Methods, Journal of Optimization Theory and Applications, 172(1), pp. 206--221, 2017. [paper]

R. Grigoryan, T.L. Jensen and T. Larsen, Computational Complexity Reduction in Nonuniform Compressed Sensing by Multi-Coset Emulation, Signal Processing, 2017 [code]

2016

J.K. Nielsen, T.L. Jensen, J.R. Jensen, M.G. Christensen and S.H. Jensen, Grid Size Selection for Nonlinear Least-Squares Optimization in Spectral Estimation and Array Processing, EUSIPCO 2016 [code][paper]

T.L. Jensen, D. Giacobello, T. van Waterschoot and M.G Christensen, Computational Analysis of a Fast Algorithm for High-order Sparse Linear Prediction, EUSIPCO 2016, [code]

J.K. Nielsen, T.L. Jensen, J.R. Christensen, M.G. Christensen and S.H. Jensen, Fast and Statistically Efficient Fundamental Frequency Estimation, ICASSP 2016 [paper][code]

T.L. Jensen, D. Giacobello, T. van Waterschoot and M. G. Christensen, Fast Algorithms for High-Order Sparse Linear Prediction with Applications to Speech Processing, Speech Communication, Feb. 2016, pp. 143-156 [code] [paper]

S. Zhang, T.L. Jensen, O. Franek, P.C.F. Eggers, C. Byskov, G.F. Pedersen, Investigation of UWB Wind Turbine Blade Deflection Sensing with a Tip Antenna inside a Blade, IEEE Sensors Journal, Sep. 2016.

O. Franek, S. Zhang, T.L. Jensen, P.C.F. Eggers, K. Olesen, C. Byskov, G.F. Pedersen, Wind Turbine Blade Deflection Sensing System Based on UWB Technology, 2016 Proceedings of the 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC). 6th ed. Cairns, Australia, 4 p.

2015

S. Zhang, T.L. Jensen, O. Franek, P.C.F. Eggers, K. Olesen, C. Byskov and G.F. Pedersen, UWB Wind Turbine Blade Deflection Sensing for Wind Energy Cost Reduction, Sensors, 15(8), 2015, pp. 19768-19782.

T.L. Jensen, M.L. Jakobsen, J. Østergaard, J.K. Nielsen, C. Byskov, P. Bæk and S.H. Jensen, Online Estimation of wind turbine blade deflection with UWB signals, EUSIPCO, 2015 [paper]

J.K. Nielsen, T.L. Jensen, J.R. Jensen, M.G. Christensen and S.H. Jensen A Fast Algorithm for Maximum Likelihood-based Fundamental Frequency Estimation, EUSIPCO, 2015 [code] [paper]

J.K. Nielsen, N.D. Gaubitch, R. Heusdens, J. Martinez, T. L. Jensen and S.H. Jensen, Real-time Loudspeaker Distance Estimation with Stereo Audio, EUSIPCO, 2015 [paper][code]

2014

D. Giacobello, M.G. Christensen, T.L. Jensen, M.N. Murthi, S.H. Jensen, M. Moonen Stable 1-Norm Error Minimization Based Linear Predictors for Speech Modeling IEEE/ACM Transaction on Audio, Speech, and Language Processing, vol.22, no.5, pp.912,922, May 2014

2013

T.L. Jensen, T. Arildsen, J. Østergaard Reconstruction of Undersampled Atomic Force Microscopy Images using Basis Pursuit, SITIS 2013, pp. 130-135

T.L. Jensen, D. Giacobello, M.G. Christensen, S.H. Jensen and M. Moonen Real-time Implementations of Sparse Linear Prediction for Speech Processing, ICASSP13, pp. 8184-8188 [paper][code]

K. Fyhn, T.L. Jensen, T. Larsen and S.H. Jensen Compressive Sensing for Spread Spectrum Receivers, IEEE Transaction on Wireless Communications, vol. 12, issur 5, pp. 2334-2343[software]

R. Grigoryan, T.L. Jensen, T. Arildsen, T. Larsen Reducing the Computational Complexity of Reconstruction in Compressed Sensing Nonuniform Sampling EUSIPCO13.

2012

T.L. Jensen, K. Fyhn, T. Arildsen, and T. Larsen Downsampling of DFT Precoded Signals for the AWGN Channel, ISSPIT 2012, [code] [paper][presentation]

T.L. Jensen and T. Larsen Robust Computation of Error Vector Magnitude based on Wireless Standards , IEEE Trans. on Communications, vol. 61, issue 2, pp. 648-657 [software and paper]

2011

T.L. Jensen First-order Convex Optimization Methods for Signal and Image Processing, PhD thesis, Dec. 2011

T.L. Jensen, J. Østergaard, J. Dahl and S.H. Jensen, Multiple-Description l1-Compression, IEEE Transaction on Signal Processing, vol. 59, no. 8, pp. 3699-3711, 2011

T. L. Jensen, J. H. Jørgensen, P. C. Hansen, and S. H. Jensen, Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization, BIT Numerical Mathematics, vol. 52, no. 2, pp. 329-356, 2012 [software]

T.L. Jensen, A Lower Complexity Bound for l1-regularized Least-squares Problems using a Certain Class of Algorithms, June 27-30, Edinburgh, (Scotland, UK), 2011, pp. 65

2010

J. Dahl, P.C. Hansen, S.H. Jensen and T.L. Jensen, Algorithms and Software for Total-Variation Image Reconstruction via First-Order Methods, Numer. Algo (2010),53:67-92 [software]

T.L. Jensen, S. Kant, J. Wehinger and B.H. Fleury, Fast Link Adaptation for MIMO-OFDM, IEEE Trans. on Vehicular Technology, 59(8):3766-3778, Oct, 2010

T.L. Jensen, J. Østergaard and S.H. Jensen, Iterated Smoothing for Accelerated Gradient Convex Minimization in Signal Processing,ICASSP, Dallas, Texas, Mar., 2010, p. 774-777

T.L. Jensen, J. Østergaard, J. Dahl and S.H. Jensen, Multiple Descriptions using Sparse Decompositions, EUSIPCO 2010, Aalborg, Denmark, Aug. 2010, p.110-114

2009

T.L. Jensen, J. Dahl, J. Østergaard and S.H. Jensen, A First-Order Method for the Multiple-Description l1-Compression Problem, SPARS, Saint Malo, France, Apr., (2009)

J. Dahl, J. Østergaard, T.L. Jensen and S.H. Jensen, An Efficient First-Order Method for l1-Compression of Images, ICASSP, Taipei, Taiwan, Apr., 2009, p. 1009-1012

J. Dahl, J. Østergaard, T.L. Jensen and S.H. Jensen, l1 Compression of Image Sequences using the Structural Similarity Index Measure, DCC, Snowbird, Utah, 2009, p. 133-142

2008

T. Lindstrøm Jensen, S. Kant, J. Wehinger and B. H. Fleury, "Mutual Information Metrics for Fast Link Adaptation in IEEE 802.11n", IEEE Int. Conf. on Comm (ICC), Beijing, China, May 19-23, 2008, p. 4910-4915.

2007

Master Thesis: Fast Link Adaptation for IEEE 802.11n
The presentation is available [here]

2006

9th semester project Message Passing Algorithm and Linear Programming Decoding of LDPC and Linear Block Codes [code]

Software

mxTV - software for solving 2 dimensional total variation problems in constrained form
TVReg - software for solving 3 dimensional (tomography) total variations problems in Lagrange form with box constraints.
EVMBOX software for computing the error vector magnitude.

Talks

"Receiver Undersampling of Uncoded Signals with Detection using the Viterbi Algorithm"
Vienna, May 2012 [presentation]

"A Worst-case Complexity Bound for l1-regularized Least-squares Problems using a Certain Class of Algorithms"
Leuven, Feb. 2012 [presentation]

"First-order Convex Optimization Methods for Signal and Image Processing"
Ph.D. defence, 5th of December, 2011 [presentation]

"A Lower Complexity Bound for l1-regularized Least-squares Problems using a Certain Class of Algorithms"
talk at SPARS11 [presentation]

"Smooth and Strongly Convex Optimization for Discrete Inverse Problems using Optimal First-Order Methods"
talk at the 2nd IMA Conference on Numerical Linear Algebra and Optimisation. [presentation]

Granted Patents

US Patent: A. Calando, F. Fleter, T. L. Jensen, S. Kant, L. Meilhac and J. Wehinger, "Link quality metric based antenna selection for transceivers," US8526515 B2, Wipro Limited.

Reviewer

for IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, IEEE Transactions on Audio, Speech and Language Processing, IEEE Signal Processing Letters, EURASIP J. on Advanced Signal Processing, (Elsevier) Signal Processing, European Transactions on Telecommunications, Globecom, EUSIPCO, IEEE DCC, IEEE WCNC.