Publication list for
Gabor Hannak
as author or essentially involved person
22 records (2013 - 2020)
Publications in Scientific Journals
P. Berger, G. Hannak, G. Matz:
"Efficient graph learning from noisy and incomplete data";
IEEE Transactions on Signal and Information Processing over Networks,
6
(2020),
105
- 119.
P. Berger, G. Hannak, G. Matz:
"Graph Signal Recovery via Primal-Dual Algorithms for Total Variation Minimization";
IEEE Journal of Selected Topics in Signal Processing,
11
(2017).
G. Hannak, A. Perelli, N. Görtz, G. Matz, M. E. Davies:
"Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing";
IEEE Journal of Selected Topics in Signal Processing,
12
(2018),
5;
857
- 870.
A. Jung, G. Hannak, N. Görtz:
"Graphical LASSO based Model Selection for Time Series";
IEEE Signal Processing Letters,
22
(2015),
1781
- 1785.
M. Mayer, G. Hannak, N. Görtz:
"Exploiting joint sparsity in compressed sensing-based RFID";
EURASIP Journal on Embedded Systems,
2016:8
(2016),
1
- 15.
Contributions to Proceedings
N. Görtz, G. Hannak:
"Fast Bayesian Signal Recovery in Compressed Sensing with Partially Unknown Discrete Prior";
in: "Proceddings 21th International ITG Workshop on Smart Antennas (WSA) 2017",
VDE Verlag GmbH,
2017,
ISBN: 978-3-8007-4394-0,
Paper ID http://ieeexplore.ieee.org/document/7955980/,
8 pages.
Talks and Poster Presentations (with Proceedings-Entry)
P. Berger, M. Buchacher, G. Hannak, G. Matz:
"Graph Learning based on Total Variation Minimization";
Poster: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018),
Calgary, AB, Canada;
04-15-2018
- 04-20-2018; in: "2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
IEEE,
(2018),
5 pages.
P. Berger, T. Dittrich, G. Hannak, G. Matz:
"Semi-Supervised Multiclass Clustering Based on Signed Total Variation";
Talk: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019),
Brighton, UK;
05-12-2019
- 05-17-2019; in: "Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing",
IEEE,
(2019),
ISBN: 978-1-4799-8131-1;
5 pages.
P. Berger, G. Hannak, G. Matz:
"Coordinate descent accelerations for signal recovery on scale-free graphs based on total variation minimization";
Talk: 25th European Signal Processing Conference (EUSIPCO) 2017,
Kos, Greece (invited);
08-28-2017
- 09-02-2017; in: "2017 25th European Signal Processing Conference (EUSIPCO)",
(2017),
ISBN: 978-0-9928626-8-8;
1689
- 1693.
G. Hannak, P. Berger, G. Matz, A. Jung:
"Efficient Graph Signal Recovery Over Big Networks";
Talk: Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, CA, USA;
11-06-2016
- 11-09-2016; in: "2016 50th Asilomar Conference on Signals, Systems and Computers",
(2016),
??.
G. Hannak, A. Jung, N. Görtz:
"On the Information-theoretic Limits of Graphical Model Selection for Gaussian Time Series";
Talk: European Signal Processing Conference (EUSIPCO),
Lissabon, Portugal;
09-01-2014
- 09-05-2014; in: "Proceedings of the European Signal Processing Conference (EUSIPCO)",
(2014),
516
- 520.
G. Hannak, M. Mayer, A. Jung, G. Matz, N. Görtz:
"Joint channel estimation and activity detection for multiuser communication systems";
Talk: IEEE ICC 2015 Workshop on Massive Uncoordinated Access Protocols,
London;
06-08-2015
- 06-12-2015; in: "Communication Workshop (ICCW), 2015 IEEE International Conference on",
(2015),
2086
- 2091.
G. Hannak, M. Mayer, G. Matz, N. Görtz:
"Bayesian QAM demodulation and activity detection for multiuser communication systems";
Talk: 2016 IEEE International Conference on Communications Workshops (ICC),
Kuala Lumpur, Malaysien;
05-23-2016
- 05-27-2016; in: "Proceedings of 2016 IEEE International Conference on Communications Workshops (ICC)",
(2016),
596
- 601.
G. Hannak, A. Perelli, G. Matz, M. E. Davies, N. Görtz:
"Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing";
Poster: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques,
Marseille, France;
11-21-2018
- 11-23-2018; in: "Proceedings iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques",
(2018).
A. Jung, P. Berger, G. Hannak, G. Matz:
"Scalable graph signal recovery for big data over networks";
Poster: SPAWC 2016 - The 17th International Workshop on Signal Processing Advances in Wireless Communications,
Edinburgh;
07-03-2016
- 07-06-2016; in: "Proc. of IEEE SPAWC 2016",
(2016),
1
- 6.
M. Mayer, G. Artner, G. Hannak, M. Lerch, M. Guillaud:
"Measurement Based Evaluation of Interference Alignment on the Vienna MIMO Testbed";
Talk: International Symposium on Wireless Communication Systems,
Ilmenau, TU Ilmenau, Germany (invited);
08-27-2013
- 08-30-2013; in: "The Tenth International Symposium on Wireless Communication Systems",
(2013),
ISBN: 978-3-8007-3529-7.
O. Musa, G. Hannak, N. Görtz:
"Efficient Recovery from Noisy Quantized Compressed Sensing Using Generalized Approximate Message Passing";
Poster: 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Curacao, Durch Antilles;
12-10-2017
- 12-13-2017; in: "Proeceedings International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)",
IEEE,
(2017),
ISBN: 978-1-5386-1251-4;
1
- 5.
O. Musa, G. Hannak, N. Görtz:
"Generalized approximate message passing for one-bit compressed sensing with AWGN";
Poster: 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP),
Washington D.C., USA;
12-06-2016
- 12-09-2016; in: "Signal and Information Processing (GlobalSIP), 2016 IEEE Global Conference on",
IEEE (ed.);
IEEE,
(2016),
1428
- 1432.
V. Schwarz, G. Hannak, G. Matz:
"On the convergence of average consensus with generalized Metropolis-Hasting weights";
Talk: IEEE International Conference on Speech, Acoustics, and Signal Processing 2014 (ICASSP 2014),
Florence, Italy;
05-04-2014
- 05-09-2014; in: "Proc. IEEE ICASSP-2014",
IEEE,
(2014),
5442
- 5446.
Doctor's Theses (authored and supervised)
G. Hannak:
"Bayesian Approximate Message Passing for Distributed Compressed Sensing";
Supervisor, Reviewer: N. Görtz, M. E. Davies;
E389,
2017;
oral examination: 08-30-2017.
Diploma and Master Theses (authored and supervised)
G. Hannak:
"Average Consensus in Mobile Wireless Sensor Networks";
Supervisor: G. Matz, V. Schwarz;
Institute of Telecommunications,
2013;
final examination: 08-09-2013.
V. Miklausic:
"Optimized Sampling of Graph Signals";
Supervisor: N. Görtz, G. Hannak;
E389,
2017;
final examination: 01-26-2017.
