Publikationen

Buchkapitel

C. Steffens and M. Pesavento, “Collaborative Sensing Techniques” book chapter in “Spectrum Sharing: The Next Frontier in Wireless Networks” edited by Tharmalingam Ratnarajah, Constantinos B. Papadias and Dirk T.M. Slock IEEE Press Wiley, 2020.

Zeitschriftenartikel

J.-H. Lange, M. E. Pfetsch, B. M. Seib, and A. M. Tillmann, „Sparse recovery with integrality constraints,“ Discrete Applied Mathematics, in press, DOI 10.1016/j.dam.2020.01.021, 2020.

Y. Yang, M. Pesavento, Z.-Q. Luo and B. Ottersten, “Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization” Transactions on Signal Processing, 2019.

Y. Yang, M. Pesavento, S. Chatzinotas, B. Ottersten, “Energy Efficiency Optimization in MIMO Interference Channels: A Successive Pseudoconvex Approximation Approach.,” Transactions on Signal Processing, 2019.

Y. Yang, M. Pesavento, S. Chatzinotas, B. Ottersten, “Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations,” IEEE Journal of Selected Topics in Signal Processing, 2018.

C. Steffens and M. Pesavento, „Block- and Rank-Sparse Recovery for Direction Finding in Partly Calibrated Arrays,“ in IEEE Transactions on Signal Processing, vol. PP, no. 99, pp. 1-1, 2018.

C. Steffens, M. Pesavento and M. Pfetsch, „A Compact Formulation for the L2,1 Mixed-Norm Minimization Problem,“ in IEEE Transactions on Signal Processing, vol. PP, no. 99, pp. 1-1, 2018.

J. Steinwandt, F. Roemer, and M. Haardt, „Generalized least squares for ESPRIT-type direction of arrival estimation,'' IEEE Signal Processing Letters, vol. 24, pp. 1681 – 1685, Nov. 2017.

T. Fischer and M. E. Pfetsch, “Branch-and-Cut for Linear Programs with Overlapping SOS1 Constraints,„ Mathematical Programming Computation 10, No. 1, 33--68 (2018)

A. M. Tillmann, Y. C. Eldar, and J. Mairal, “DOLPHIn – Dictionary Learning for Phase Retrieval,’’ IEEE Transactions on Signal Processing, vol. 64, no. 24, pp. 6485–6500, 2016, DOI: 10.1109/TSP.2016.2607180.

Y. Yang and M. Pesavento, “A unified successive pseudoconvex approximation framework,” IEEE Transactions on Signal Processing, vol. 65, no. 13, pp. 3313–3328, 2017.

J. Steinwandt, F. Roemer, M. Haardt, and G. Del Galdo, “Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing,” IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2262–2276, 2017.

Y. Yang, M. Pesavento, M. Zhang, and D. P. Palomar, “An online parallel algorithm for recursive estimation of sparse signals,” IEEE Transactions on Signal and Information Processing over Networks, vol. 2, no. 3, pp. 290–305, 2016.

J. Steinwandt, F. Roemer, M. Haardt, and G. Del Galdo, “Deterministic Cram´er-Rao bound for strictly non-circular sources and analytical analysis of the achievable gains,” IEEE Transactions on Signal Processing, vol. 64, no. 17, pp. 4417–4431, 2016.

R. Boyer and M. Haardt, “Noisy compressive sampling based on block-sparse tensors: Performance limits and beamforming techniques,” IEEE Transactions on Signal Processing, vol. 64, no. 23, pp. 6075–6088, 2016.

T. Fischer and M. E. Pfetsch, “Monoidal cut strengthening and generalized mixed-integer rounding for disjunctive programs,’’ Operations Research Letters, vol. 45, no. 6, pp. 556–560, 2017

D. A. Lorenz, M. E. Pfetsch, and A. M. Tillmann, “Solving basis pursuit: Heuristic optimality check and solver comparison,” ACM Transactions on Mathematical Software (TOMS), vol. 41, no. 2, p. 8, 2015.

Preprint:

J. Heuer, F. Matter, M. E. Pfetsch and T. Theobald, “Block-sparse Recovery of Semidefinite Systems and Generalized Null Space Conditions," arXiv preprint arXiv:1907.09442, 2019.

Konferenzbeiträge

K. Ardah, B. Sokal, A. L. F. de Almeida, and M. Haardt, “Compressed Sensing Based Channel Estimation And Open-Loop Training Design For Hybrid Analog-Digital Massive Mimo Systems,” in Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May. 2020.

T. Liu, M.-T. Hoang, Y. Yang and M. Pesavento, “A block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Interference with Laplacian Constraints,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, West Indies, 2019.

K. Ardah, M. Pesavento, M. Haardt,“A Novel Sensing Matrix Design for Compressed Sensing Via Mutual Coherence Minimization,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, West Indies, 2019.

Y. Yang, M. Pesavento, Z.-Q. Luo; B. Ottersten, “Block Successive Convex Approximation Algorithms for Nonsmooth Nonconvex Optimization,” IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, USA, 2019.

G. Kushe, Y. Yang, C. Steffens and M. Pesavento, “A Parallel Sparse Regularization Method for Structured Multilinear Low-Rank Tensor Decomposition,” European Signal Processing Conference (EUSIPCO), A Coruna, Spain, 2019.

T. Liu, M.-T. Hoang, Y. Yang, M. Pesavento, “A Parallel Optimization Approach on the Infinity Norm Minimization Problem,” European Signal Processing Conference (EUSIPCO), A Coruna, Spain, 2019.

Y. Yang, M. Pesavento, Y.C. Eldar, B. Ottersten, “Parallel Coordinate Descent Algorithms for Sparse Phase Retrieval,”IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), Brighton, UK, 2019.

K. Ardah, A. L. F. de Almeida, and M. Haardt, “A Gridless CS Approach for Channel Estimation in Hybrid Massive MIMO Systems,” in Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, pp. 4160 – 4164, May 2019

K. Ardah, A. L. F. de Almeida, and M. Haardt, “Low-complexity millimeter wave CSI Estimation in MIMO-OFDM hybrid beamforming systems,” in Proc. 23-rd International ITG Workshop on Smart Antennas (WSA), Vienna, Austria, pp. 169 – 173, Apr. 2019

Y. Yang, M. Pesavento, S. Chatzinotas, B. Ottersten, “Parallel and Hybrid Soft-Thresholding Algorithms with Line Search for Sparse Nonlinear Regression,” European Signal Processing Conference, EUSIPCO 2018, Rome, Italy, 2018.

Y. Yang, M. Pesavento, S. Chatzinotas, B. Ottersten, “Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconves Regularizations,”IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield, United Kingdom, 2018.

Y. Yang and M. Pesavento, “Energy Efficiency in MIMO Interference Channels: Social Optimality and Max-Min Fairness,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Alberta, Canada, 2018.

Y. Yang and M. Pesavento, “A Parallel Best-Response Algorithm with Exact Line Search for Nonconvex Sparsity-Regularized Rank Minimization,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Alberta, Canada, 2018.

T. Fischer, G. Hegde, F. Matter, M. Pesavento, M. E. Pfetsch and A. Tillmann, “Joint Antenna Selection and Phase-Only Beamforming Using Mixed-Integer Nonlinear Programming,” International ITG Workshop on Smart Antennas (WSA), Bochum, 2018.

T. Fischer, G. Hegde, F. Matter, M. Pesavento, M. E. Pfetsch, A. M. Tillmann, „Joint Antenna Selection and Phase-only Beam using Mixed-Integer Nonlinear Programming'', in 22nd International ITG Workshop on Smart Antennas (WSA 2018), Bochum, Germany, March 2018 [accepted].

Y. Yang and M. Pesavento, “A parallel best-response algorithm with exact line search for nonconvex sparsity regularized rank minimization,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018 (accepted) ArXiv, Tech. Rep. 1711.04489, ICASSP 2018.

J. Steinwandt, F. Roemer, and M. Haardt, “Performance analysis of ESPRIT-type algorithms for co-array structures,” in Proc. IEEE 7th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, Dec. 2017.

W. Suleiman, C. Steffens, A. Sorg, and M. Pesavento, “Gridless compressed sensing for fully augmentable arrays,” in Proceedings of the 25th European Signal Processing Conference (EUSIPCO), Kos Island, Greece, August 2017.

G. Hegde, M. Pesavento, and M. E. Pfetsch, “Joint active device identification and symbol detection using sparse constraints in massive MIMO systems,” in Proceedings of the 25th European Signal Processing Conference (EUSIPCO), Kos Island, Greece, August 2017.

A. M. Tillmann and M. E. Pfetsch, “Computing the spark of a matrix,” in Proc. SPARS 2017, extended Abstract, Article 31.

C. Steffens, M. Pesavento, and M. E. Pfetsch, “A compact formulation for the l21 mixed-norm minimization problem,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, pp. 4730–4734.

C. Steffens, W. Suleiman, A. Sorg, and M. Pesavento, “Gridless compressed sensing under shift-invariant sampling,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, pp. 4735–4739.

A. C. Walewski, C. Steffens, and M. Pesavento, “Off-grid parameter estimation based on joint sparse regularization,” in Proceedings of the 11th International ITG Conference on Systems, Communications and Coding (SCC). VDE, 2017, pp. 1–6.

J. Steinwandt, F. Roemer, C. Steffens, M. Haardt, and M. Pesavento, “Gridless super-resolution direction finding for strictly non-circular sources based on atomic norm minimization,” in Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016, pp. 1518–1522.

C. Steffens, Y. Yang, and M. Pesavento, “Multidimensional sparse recovery for MIMO channel parameter estimation,” in Proceedings of the 24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016, pp. 66–70.

J. Steinwandt, C. Steffens, M. Pesavento, and M. Haardt, “Sparsity-aware direction finding for strictly non-circular sources based on rank minimization,” in Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016, pp. 1–5.

J. Steinwandt, F. Roemer, and M. Haardt, “Sparsity-based direction-of-arrival estimation for strictly non-circular sources,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 3246–3250.

PhD Dissertationen

J. Steinwandt, “Advanced array signal processing algorithms for multi-dimensional parameter estimation,” PhD Dissertation, November 2018.

C. Steffens, “Compact formulations for sparse reconstruction in fully and partly calibrated arrays,” PhD Dissertation, September 2017.

T. Fischer, “Branch-and-cut for complementary and cardinality constrained linear programs,” PhD Dissertation, January 2017.

Tutorien

Y. Yang and M. Pesavento, “Exploiting structure and pseudoconvexity in iterative parallel optimization algorithms for real time and large scale applications,” Tutorial at the 25th European Signal Processing Conference (EUSIPCO), Kos Island, Greece, August 2017.

M. Pesavento, Y. Cheng, and M. E. Pfetsch, “Mixed-integer programming in signal processing and communications,” Tutorial at the 41nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, Australia, April 2015.

Sonstiges

J. Kuske and A. Tillmann, “Solving basis pursuit: Update,” Technische Universitt Darmstadt, Tech. Rep [Online]. Available: http://www.mathematik.tu-darmstadt.de/~tillmann/docs/SolvingBPupdateApr2016.pdf, April 2016.

T. Fischer and M. E. Pfetsch “On the structure of linear programs with overlapping cardinality constraints,” Optimization Online,Tech. Rep., 2017, http://www.optimization-online.org/DB_HTML/2017/01/5833.html.

Special session “Exploiting structure in compressed sensing”, organized by: Marius Pesavento and Martin Haardt, at the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) to be held in December 2017 in Curacao, Dutch Antilles (http://www.cs.huji.ac.il/conferences/CAMSAP17/special-sessions.php).