Publications and preprints

Preprints

  1. Alexandra Carpentier, Jens Eisert, David Gross, Richard Nickl, Uncertainty quantification for matrix compressed sensing and quantum tomography problems, April 2015

  2. Y. Yang, Marius Pesavento, A Unified Successive Pseudo-Convex Approximation Framework, June 2015

  3. Saeid Haghighatshoar, Giuseppe Caire, An Active-Sensing Approach to Channel Vector Subspace Estimation in mm-Wave Massive MIMO Systems, November 2015

  4. Martin Kliesch, Richard Kueng, Jens Eisert, David Gross, Improving compressed sensing with the diamond norm, November 2015

  5. Sven Puchinger and Antonia Wachter-Zeh, Fast Operations on Linearized Polynomials and their Applications in Coding Theory, December 2015

  6. L. Palzer, R. Timo, G. Kramer, Compression for letter-based fidelity measures, January 2016

  7. A. Flinth and G. Kutyniok, PROMP: A Sparse Recovery Approach to Lattice-Valued Signals, February 2016

  8. T. Fischer and M. E. Pfetsch, Monoidal Cut Strengthening and Generalized Mixed-Integer Rounding for Disjunctive Programs, March 2016

  9. Kueng, R. and Jung, P., Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements, March 2016

  10. Sven Müelich, Sven Puchinger, and Martin Bossert, Low-Rank Matrix Recovery using Gabidulin Codes in Characteristic Zero, April 2016

  11. C. Steffens, M. Pesavento, M. E. Pfetsch, A Compact Formulation for the L21 Mixed-Norm Minimization Problem, June 2016

  12. Saeid Haghighatshoar, Giuseppe Caire, Channel Vector Subspace Estimation from Low-Dimensional Projections, July 2016

  13. A. Seel, A. Davtyan, U. Pietsch, O. Loffeld, Norm minimized Scattering Data from Intensity Spectra, July 2016

  14. S. Sparrer, R.F.H. Fischer, Algorithms for the Iterative Estimation of Discrete-Valued Sparse Vectors, August 2016

  15. Saeid Haghighatshoar, Giuseppe Caire, Low-Complexity Massive MIMO Subspace Estimation and Tracking from Low-Dimensional Projections, August 2016

  16. J.-H. Lange, M. E. Pfetsch, B. M. Seib and A. M. Tillmann, Sparse Recovery With Integrality Constraints, August 2016

  17. Sjoerd Dirksen and Alexander Stollenwerk, Fast binary embeddings with Gaussian circulant matrices: improved bounds, August 2016

  18. Experimental quantum compressed sensing for a seven-qubit system, August 2016

  19. Axel Flinth, Soft Recovery Through ℓ1, 2 Minimization with Applications in Recovery of Simultaneously Sparse and Low-Rank Matrices, September 2016.

  20. Axel Flinth, Sparse Blind Deconvolution and Demixing through ℓ1, 2-minimization, September 2016

  21. Fabrice Katzberg, Radoslaw Mazur, Marco Maass, Philipp Koch, Alfred Mertins, Measurement of Sound Fields Using Moving Microphones, September 2016

  22. Gerhard Wunder, Peter Jung, Mohammed Ramadan, Compressive Random Access Using A Common Overloaded Control Channel, September 2016

  23. V. Abrol et al., Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16), September 2016

  24. G. E. Pfander and P. Salanevich, Robust Phase Retrieval Algorithm for Time-Frequency Structured Measurements, November 2016.

  25. Ingo Roth, Martin Kliesch, Gerhard Wunder, Jens Eisert, Reliable recovery of hierarchically sparse signals and application in machine-type communications, Dec. 2016

  26. Rick Fritschek, Gerhard Wunder, On the Deterministic Sum-Capacity of the Multiple Access Wiretap Channel, January 2017

  27. Martin Kliesch, Richard Kueng, Jens Eisert, David Gross, Guaranteed recovery of quantum processes from few measurements, January 2017

  28. Walk, P., Jung, P., Pfander, G. E., and Hassibi, B. Blind Deconvolution with Additional Autocorrelations via Convex Programs, January 2017

  29. D. G. Lee, G. E. Pfander, V. Pohl, W. Zhou, Identification of multiple-input multiple-output channels under linear side constraints, January 2017

  30. D. G. Lee, A. Kaplan, V. Pohl, Permissible support patterns for identifying the spreading function of time-varying channels, January 2017

  31. A. Kaplan, V. Pohl, D. G. Lee, On Compressive Sensing of Sparse Covariance Matrices using Deterministic Sensing Matrices, January 2017

  32. A. Kaplan, V. Pohl, D. G. Lee, The Statistical Restricted Isometry Property for Gabor Systems, January 2017

  33. Genzel, M. and Jung, P. Recovering Structured Data From Superimposed Non-Linear Measurements, August 2017

  34. Lee, K., Krahmer, F., and Romberg, J. Spectral methods for passive imaging: Non-asymptotic performance and robustness, August 2017

  35. Chang, Y., Jung, P., Zhou, C., and Stanczak, S., Block Compressed Sensing Based Distributed Device Detection for M2M Communications, September 2017

  36. Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut, One-bit compressed sensing with partial Gaussian circulant matrices, October 2017.

  37. Augustin, S., Frohmann, S., Jung, P., Huebers, H.-W. Mask Responses for Single-Pixel Terahertz Imaging, October 2017

  38. Željka Stojanac, Daniel Suess, Martin Kliesch, On products of Gaussian random variables, November 2017

  39. Massimo Fornasier, Johannes Maly, and Valeriya Naumova A-T-LAS_{2,1}: A Multi-Penalty Approach to Compressed Sensing of Low-Rank Matrices with Sparse Decompositions, January 2018

  40. Johannes Maly and Lars Palzer, Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements, May 2018.

  41. Mark Iwen, Felix Krahmer, Sara Krause-Solberg, and Johannes Maly, On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds, July 2018.

Publications

  1. R. K Sharma, A. Lavrenko, D. Kolb, and R. S Thomä. Cognitive scout node for communication in disaster scenarios, Journal of Computer Networks and Communications 2012 (2012).

  2. J. Schmitz, Milan Z., and R. Mathar. Extended Cyclostationary Signatures for OFDM in the Presence of Hardware Imperfections, Frequenz: Journal of RF-Engineering and Telecommunications 66.9-10 (Sept. 2012), pp. 293–302.

  3. Gerhard Wunder, Holger Boche, Thomas Strohmer, Peter Jung, Sparse Signal Processing Concepts for Efficient 5G System Design, IEEE Access January 2015.

  4. S. Sparrer and R.F.H. Fischer, Mixed Generalized Gaussian Noise Channels: Capacity, Decoding, and Performance, International ITG Conference on Systems, Communications and Coding (SCC), Hamburg, Germany, Feb. 2015.

  5. Mostafa Mohamed, Shrief Rizkalla, Henning Zoerlein, and Martin Bossert, Deterministic Compressed Sensing with Power Decoding for Complex Reed--Solomon Codes, 10th International ITG Conference on Systems, Communications and Coding (SCC), Hamburg, Germany, February 2015.

  6. M. Pesavento, Y. Cheng, M. Pfetsch: Mixed-integer programming in signal processing and communications, Tutorial at the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'15), Apr. 19th – 24th, 2015, Brisbane, Australia

  7. Augustin, S., Hieronymus, J., Jung, P., and Hübers, W. H. Compressed Sensing in a Fully Non-Mechanical 350 GHz Imaging Setting, Journal of Infrared, Millimeter, and Terahertz Waves, 36(5):496--512. (May 2015) doi 10.1007/s10762-014-0141-5

  8. M. G. Pralon, A. Popugaev, D. Schulz, M. A. Hein, and R. S. Thomä. A dual-band compact L-Quad antenna array for radio localization, 2015 9th European Conference on Antennas and Propagation (EuCAP). May 2015, pp. 1–4.

  9. A. Lavrenko, F. Römer, G. Del Galdo, and R. S. Thomä. Sparsity order estimation for sub-Nyquist sampling and recovery of sparse multiband signals. In: IEEE ICC 2015 - Signal Processing for Communications Symposium. London, United Kingdom, June 2015, pp. 4926–4931.

  10. J. Schmitz, R. Mathar, and D. Dorsch. Compressed time difference of arrival based emitter localization, Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, 2015 3rd International Workshop on. June 2015, pp. 263–267.

  11. A. Lavrenko, A. Bollig, and R. S. Thomä. Compressive energy detection for blind coarse wideband sensing: comparative performance study, The Twelfth International Symposium on Wireless Communication Systems. Brussels, Aug. 2015, pp. 491–495.

  12. S. Sparrer, R.F.H. Fischer, Soft-Feedback OMP for the Recovery of Discrete-Valued Sparse Signals, Proc. European Signal Processing Conference (EUSIPCO), Nice, France, Aug. 2015.

  13. J. Schmitz, F. Schröder, and R. Mathar. TDOA fingerprinting for localization in non-line-of-sight and multipath environments, 2015 International Symposium on Anten- nas and Propagation. Hobart, Tasmania, Australia, Nov. 2015, pp. 374–377.

  14. G Haack, A Steffens, J Eisert and R Hübener, Continuous matrix product state tomography of quantum transport experiments New J. Phys. 17, 113024 (Nov. 2015)

  15. G. Wunder, C. Stefanovic, P. Popovski, Compressive Coded Random Access for Massive MTC Traffic in 5G Systems, 49th Annual Asilomar Conf. on Signals, Systems, Pacific Grove, USA, November 2015, (invited paper)

  16. G. Wunder, P. Jung and M. Ramadan, Compressive Random Access Using A Common Overloaded Control Channel, Global Communications Conference (GLOBECOM’15), December 2015

  17. S. Sparrer, R.F.H. Fischer, MMSE-Based Version of OMP for Recovery of Discrete-Valued Sparse Signals, Electronics Letters, Vol. 52, No. 1, pp. 75--77, Jan. 2016.

  18. Saeid Haghighatshoar, Giuseppe Caire, Channel Vector Subspace Estimation from Sample Covariance of Low-Dimensional Projections, International Zurich Seminar on Communications, March, 2016.

  19. Saeid Hahighatshoar, Giuseppe Caire, Enhancing the Estimation of mm-Wave Large Array Channels by Exploiting Spatio-Temporal Correlation and Sparse Scattering, 20th International ITG Workshop on Smart Antennas (WSA 2016), March, 2016.

  20. L. Palzer and R. Timo, A converse for lossy source coding in the finite blocklength regime, Int. Zurich Sem. on Comm. (IZS), Zurich, Switzerland, Mar 2016

  21. J. Steinwandt, F. Roemer, and M. Haardt, Sparsity-based direction-of-arrival estimation for strictly non-circular sources, Proc. IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP), Shanghai, China, Mar. 2016.

  22. J. Schmitz, M. Hernández, and R. Mathar. Demonstration abstract: real-time indoor localization with TDOA and distributed software defined radio, In: Proceedings of the 15th International Conference on Information Processing in Sensor Networks. ACM. Apr. 2016.

  23. A. Seel, A. Davtyan, U. Pietsch, O. Loffeld, Norm minimized Scattering Data from Intensity Spectra, Mathematical Problems in Engineering, Volume 2016 (2016), April 2016

  24. Otmar Loffeld, Alexander Seel, Miguel Heredia Conde, Ling Wang, A Nullspace Based L 1 Minimizing Kalman Filter Approach to Sparse CS Reconstruction, 11th European Conference on Synthetic Aperture Radar (EUASR 2016), June 6-9 2016

  25. Ling Wang, Otmar Loffeld, Kaili Ma, Yulei Qian, Sparse ISAR Imaging Using Greedy Kalman Filtering, 11th European Conference on Synthetic Aperture Radar (EUASR 2016), June 6-9 2016

  26. Otmar Loffeld, Alexander Seel, Miguel Heredia Conde, Ling Wang, Sparse CS Reconstruction by Nullspace Based L1 Minimizing Kalman Filtering, International Conference on Communication (COMM), 9-10 June 2016

  27. A. Seel, A. Davtyan, U. Pietsch, O. Loffeld, Norm minimized Scattering Data from Intensities, International Conference on Communication (COMM), 9-10 June 2016

  28. Sven Müelich, Sven Puchinger, and Martin Bossert, Low-Rank Matrix Recovery using Gabidulin Codes in Characteristic Zero, 15th International Workshop on Algebraic and Combinatorial Coding Theory (ACCT), Albena, Bulgaria, June 2016.

  29. A. Lavrenko, F. Römer, S. Stein, D. Cohen, G. Del Galdo, R. S. Thomä, and Y. C. Eldar. Spatially resolved sub-Nyquist sensing of multiband signals with arbitrary antenna arrays. In: 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications. Edinburgh, United Kingdom, July 2016

  30. J. Steinwandt, C. Steffens, M. Pesavento, and M. Haardt, Sparsity-aware direction finding for strictly non-circular sources based on rank minimization, Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil, July 2016, invited paper.

  31. R. Fritschek and G. Wunder, Towards a Constant-Gap Sum-Capacity Result for the Gaussian Wiretap Channel with a Helper, International Symposium on Information theory (ISIT 2016), Barcelona, July 2016

  32. Axel Flinth, Optimal Choice of Weights for Sparse Recovery With Prior Information, IEEE Transactions on Information Theory, 62(7):4276 - 4284, July 2016.

  33. L. Palzer and R. Timo, Fixed-length compression for letter-based fidelity measures in the finite blocklength regime, IEEE Int. Symp. on Inf. Theory (ISIT), Barcelona, Spain, Jul 2016

  34. Sven Müelich, Sven Puchinger, David Mödinger and Martin Bossert, An Alternative Decoding Method for Gabidulin Codes in Characteristic Zero, IEEE International Symposium on Information Theory, Barcelona, Spain, July 2016.

  35. Sven Puchinger and Antonia Wachter-Zeh, Sub-Quadratic Decoding of Gabidulin Codes, IEEE International Symposium on Information Theory, Barcelona, Spain, July 2016.

  36. Roth, Ingo, Martin Kliesch, Gerhard Wunder, and Jens Eisert. Reliable Recovery of Hierarchically Sparse Signals, In Proceedings of the Third “International Traveling Workshop on Interactions between Sparse Models and Technology” (iTWIST’16), 36–38. Aalborg, 24th-26th of August 2016.

  37. S. Sparrer, R.F.H. Fischer, Enhanced Iterative Hard Thresholding for the Estimation of Discrete-Valued Sparse Signals, Proc. European Signal Processing Conference (EUSIPCO), Budapest, Hungary, Aug. 2016.

  38. Ingo Roth, Martin Kliesch, Gerhard Wunder, and Jens Eisert, Reliable recovery of hierarchically sparse signals, Proc. 3rd “International Traveling Workshop on Interactions between Sparse Models and Technology” (iTWIST’16), 36–38. Aalborg, August 2016

  39. C. Steffens, Y. Yang, M. Pesavento, Multidimensional Sparse Recovery for MIMO Channel Parameter Estimation, 2016 European Signal Processing Conference, 29.08.-02.09.2016, Budapest, Hungary.

  40. S. Limmer, S. Stanczak, Towards optimal nonlinearities for sparse recovery using higher-order statistics, IEEE International Workshop on Machine Learning For Signal Processing (MLSP), Salerno, Italy, Sept. 2016.

  41. Palzer and R. Timo, A lower bound for the rate-distortion function of spike sources that is asymptotically tight, IEEE Inf. Theory Workshop (ITW), Cambridge, UK, Sep 2016

  42. Axel FLinth, A Geometrical Stability Condition for Compressed Sensing, Linear Algebra and its Applications, 50:406-432, September 2016.

  43. J. Steinwandt, F. Roemer, M. Haardt, and G. Del Galdo, Deterministic Cramér-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, Sept. 2016.

  44. Stoeger, D. and Jung, P. and Krahmer, F., Blind deconvolution and Compressed Sensing, In 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), pages 24--27. IEEE. 9-22 September 2016, Aachen, Germany.

  45. Kueng, R. and P., Jung., Robust Nonnegative Sparse Recovery and 0/1-Bernoulli Measurements, IEEE Inf. Theory Workshop (ITW), Cambridge, 12-14 September 2016

  46. A. Lavrenko, A. Sosa, A. Navarro, and R. S. Thomä. Interference detection in centralized cooperative spectrum sensing from sub-Nyquist samples. In: 2016 IEEE 27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Valencia, Spain, Sept. 2016.

  47. Mostafa Mohamed, Henning Zoerlein and Martin Bossert, Recursive Enhancement of Intrinsic Soft Information for Complex Reed-Solomon Codes, Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Aachen, Germany, September 2016.

  48. Benjamin Fürsich, Sven Augustin, Richard Bamler, Xiaoxiang Zhu, Heinz-Wilhelm Hübers, Towards a THz stand-off Single-Pixel Camera using Compressed Sensing, Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Aachen, Germany, September 2016.

  49. Vinh Nguyen Xuan, Klaus Hartmann, Wolfgang Weihs and Otmar Loffeld, Combined Based on Minimum Distance Orthogonal Matching Pursuit Method for Support Recovery Improvement in Super-Resolution Compressed Sensing, 4th International Workshop on Compressed Sensing Theory and Ist Applications to Radar, Sonar and Remote Sensing, 19-22 September 2016

  50. Miguel Heredia Conde, Klaus Hartmann, Otmar Loffeld, Simple Adaptive Progressive Edge-Growth Construction of LDPC Codes for Close(r)-to-Optimal Sensing in Pulsed ToF, 4th International Workshop on Compressed Sensing Theory and Ist Applications to Radar, Sonar and Remote Sensing, 19-22 September 2016

  51. Ling Wang and Otmar Loffeld, ISAR Imaging Using a Null Space l1 Minimizing Kalman Filter Approach, 4th International Workshop on Compressed Sensing Theory and Ist Applications to Radar, Sonar and Remote Sensing, 19-22 September 2016

  52. Sven Augustin, H.-W. Hübers, Understanding mask switching for THz compressive imaging, 41 st International Conference on Infrared, Millimeter and Terahertz Waves 25-30 September 2016 Copenhagen, Denmark

  53. Walk, P., Jung, P., Pfander, G. E., and Hassibi, B. Ambiguities of Convolutions with Application to Phase Retrieval Problems, In 2016 50th Asilomar Conference on Signals, Systems and Computers (invited paper). 6-9 Nov. 2016, Pacific Grove, CA, USA

  54. Arya Bangun, Arash Behboodi and Rudolf Mathar, Sparse Recovery in Wigner-D Basis Expansion, 2016 IEEE Global Conference on Signal and Information Processing, December 7–9, 2016, Greater Washington, D.C.

  55. Martin Kliesch, Richard Kueng, Jens Eisert, David Gross, Improving compressed sensing with the diamond norm, IEEE Trans. Inf. Th. 62, 7445 December 2016

  56. P. Walk, P. Jung, G. E. Pfander, On the stability of sparse convolutions, Applied and Computational Harmonic Analysis, vol. 42, no. 1, 117-134, Jan. 2017.

  57. V. Pohl, H. Boche and C. Yapar, Modulated Wideband Converter for Compressive Phase Retrieval of Bandlimited Signals, 11th Intern. ITG Conf. on Systems, Communications and Coding (SCC), Hamburg, Germany, Feb. 2017

  58. A. Steffens, C. Riofrio, W. McCutcheon, I. Roth, B. A. Bell, A. McMillan, M. S. Tame, J. G. Rarity, J. Eisert, Experimentally exploring compressed sensing quantum tomography, Quantum Sci. Technol. 2, 025005, February 2017

  59. Kech, M. and Krahmer, F. Optimal injectivity conditions for bilinear inverse problems with applications to identifiability of deconvolution problems, SIAM J. Appl. Algebra Geom., 1(1):20--37. (Feb. 2017)

  60. Kueng, R. and Jung, P. Convex signal reconstruction with positivity constraints, In BASP Frontiers, 29. January-3. February, 2017 - Villars-sur-Ollon, Switzerland

  61. Walk, P., Jung, P., and Hassibi, B. Blind Signal Transmission Using Huffman Sequences, 2017 Information Theory and Applications Workshop, 12.-17. Februar 2017, San Diego, Unites States

  62. Jung, P., Walk, P., and Pfander, G. Blind Deconvolution and Polynomial Factorization, In BASP Frontiers, 29. January-3. February, 2017 - Villars-sur-Ollon, Switzerland

  63. S. Sparrer and R.F.H. Fischer, Algorithms for the Iterative Estimation of Discrete-Valued Sparse Vectors, Proc. International ITG Conference on Systems, Communication, and Coding (SCC), pp. 1--6, Feb. 2017

  64. A. Steffens, P. Rebentrost, I. Marvian, J. Eisert, S. Lloyd, An efficient quantum algorithm for spectral estimation, New J. Phys. 19, 033005, March 2017

  65. H. Boche and V. Pohl, Limits of Calculating the Finite Hilbert Transform from Discrete Samples, Appl. Comput. Harmon. Anal., March 2017.

  66. S. Augustin, S. Frohmann, P. Jung and H.-W. Hübers, Compressive Imaging Using an Optically Controllable 0.35 THz Single-Pixel Camera, 2nd German Terahertz Conference, 29-31 March 2017 Bochum, Deutschland

  67. Katzberg, F., Mazur, R., Maass, M., Koch, P., and Mertins, A., Multigrid reconstruction of sound fields using moving microphones, Proc. Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco, USA, March 2017

  68. Mazur, R., Katzberg, F., Phan, H., and Mertins, A. Room equalization based on measurements with moving microphones, Proc. Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco, USA, March 2017

  69. Katzberg, F., Mazur, R., Maass, M., Koch, P., and Mertins, A., Measurement of sound fields using moving microphones, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, USA, March 2017

  70. N. Koep, R. Mathar, Binary Iterative Hard Thresholding for Frequency-Sparse Signal Recovery, 21th International ITG Workshop on Smart Antennas (WSA17), Berlin, Germany, March 2017

  71. Stoeger, D., Jung, P., and Krahmer, F. Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate, In 21st International ITG Workshop on Smart Antenna (WSA), VDE, 15-17 March 2017, Berlin, Germany

  72. S. Augustin, S. Frohmann, P. Jung, T. Schulze and H.-W. Hübers, Towards real-world THz imaging with optically controllable single-pixel cameras, Optical Terahertz Science and Technology Conference – OTST 2017, 2-7 April 2017, London, UK

  73. H. Boche and V. Pohl, Peak Value Blowup of Approximations of the Hilbert Transform of Signals with Finite Energy, American Control Conf. (ACC), Seattle, WA, USA, May 2017

  74. Rick Fritschek, Gerhard Wunder, On-the-fly Secure Key Generation with Deterministic Models, ICC May 2017,

  75. Katzberg, F., Mazur, R., Maass, M., Koch, P., and Mertins, A., Sound-field measurement with moving microphones, The Journal of the Acoustical Society of America, vol. 141, no. 5, pp. 3220-3235, May 2017

  76. Mahdi Barzegar, Saeid Haghighatshoar, Giuseppe Caire, Gerhard Wunder, Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function, ISIT, June 2017

  77. Genzel, M. and Jung, P. Sparse Recovery From Superimposed Non-Linear Sensor Measurements, In SPARS17, 5-8 June 2017, Lisbon, Portugal

  78. Lee, K., Krahmer, F., and Romberg, J. An eigen approach to stable multichannel blind deconvolution under an fir subspace model, In Sampling Theory and Applications, 12th International Conference (SampTA), pages 386--390. IEEE. 3-7 July 2017, Tallin, Estonia

  79. Geppert, J. A., Krahmer, F., and Stöger, D., Refined performance guarantees for sparse power factorization, In Sampling Theory and Applications, 12th International Conference (SampTA), pages 509--513. IEEE. 3-7 July 2017, Tallin, Estonia

  80. Walk, P., Jung, P., and Hassibi. Constrained Blind Deconvolution using Wirtinger Flow Methods, In Sampling Theory and Applications, 12th International Conference (SampTA), 3-7 July 2017, Tallin, Estonia

  81. Genzel, M. and Jung, P. Blind Sparse Recovery From Superimposed Non-Linear Sensor Measurements, In Sampling Theory and Applications, 12th International Conference (SampTA). 3-7 July 2017, Tallin, Estonia

  82. V. Pohl, N. Li, and H. Boche, Phase Retrieval in Spaces of Analytic Functions in the Unit Disk, 12th Intern. Conf. on Sampling Theory and Applications (SampTA), Tallin, Estonia, Jul. 2017, 336–340

  83. Sara Krause-Solberg and Johannes Maly, tractable approach for one-bit Compressed Sensing on manifolds, Sampling Theory and Applications (SampTA); 2017 International Conference on. IEEE; July 2017

  84. G. E. Pfander and W. Zhou, Irregular Orthonormal Gabor Basis in Finite Dimensions and Applications, 12th Intern. Conf. on Sampling Theory and Applications (SampTA) (Tallin, Estonia, July 2017).

  85. C. A. Riofrio, D. Gross, S. T. Flammia, T. Monz, D. Nigg, R. Blatt, J. Eisert, Experimental quantum compressed sensing for a seven-qubit system, Nature Comm. 8, 15305 (2017), August 2017

  86. Stoeger, D., Jung, P., and Krahmer, F. Blind demixing and deconvolution with noisy data at near optimal rate, In Proc. SPIE 10394, Wavelets and Sparsity XVII, 103941E, 24 August 2017, San Diego, California, United States

  87. Kueng, R. and Jung, P. Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements. IEEE Transactions on Information Theory, 64(2), 689–703, August 2017.

  88. Željka Stojanac, Daniel Suess, Martin Kliesch, On the distribution of a product of N Gaussian random variables. In Proc. SPIE 10394, Wavelets and Sparsity XVII, 103941E, 24 August 2017, San Diego, California, United States

  89. S. Sparrer and R.F.H. Fischer, Unveiling Bias Compensation in Turbo-Based Algorithms for (Discrete) Compressed Sensing, Proc. European Signal Processing Conference (EUSIPCO), pp. 2091--2095, Sep. 2017

  90. Augustin, S., Frohmann, S., Jung, P., and Hübers, H.-W. An optically controllable 0.35 THz single-pixel camera for millimeter resolution imaging, In The International Society of Infrared, Millimeter, and Terahertz Waves (IRMMW17), IEEE, 27 Aug.-1 Sept. 2017, Cancun, Mexico

  91. Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert, HiHTP: A Custom-Tailored Hierarchical Sparse Detector for Massive MTC, Asilomar 2017, October 29th - November 1st, 2017

  92. Jung, P., Krahmer, F., and Stöger, D., Blind Demixing and Deconvolution at Near-Optimal Rate, IEEE Transactions on Information Theory, 64(2), 704–727, December 2017.

  93. Massimo Fornasier, Johannes Maly, and Valeriya Naumova, Robust Recovery of Low-Rank Matrices using Multi-Penalty Regularization, Neural Information Processing Systems (NIPS) Workshop Optimisation for Machine Learning (OPT2017); December 2017

  94. F. Krahmer and Y. K. Liu, Phase Retrieval Without Small-Ball Probability Assumptions, IEEE Transactions on Information Theory, vol. 64, no. 1, pp. 485-500, Jan. 2018.

  95. D. G. Lee, G. E. Pfander, V. Pohl, W. Zhou, Identification of multiple-input multiple-output channels under linear side constraints, ICASSP 2018, April 2018

  96. D. G. Lee, A. Kaplan, V. Pohl, Permissible support patterns for identifying the spreading function of time-varying channels, ICASSP 2018, April 2018

  97. A. Kaplan, V. Pohl, D. G. Lee, On Compressive Sensing of Sparse Covariance Matrices using Deterministic Sensing Matrices, ICASSP 2018, April 2018.

  98. S. Sparrer and R.F.H. Fischer, Bias Compensation in Iterative Soft-Feedback Algorithms with Application to (Discrete) Compressed Sensing, Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 35--39, June 2018

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