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Andreas Bollig
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2010 – 2019
- 2017
- [j2]Andreas Bollig, Constantin Disch, Martijn Arts, Rudolf Mathar:
SNR walls in eigenvalue-based spectrum sensing. EURASIP J. Wirel. Commun. Netw. 2017: 109 (2017) - [j1]Andreas Bollig, Anastasia Lavrenko, Martijn Arts, Rudolf Mathar:
Compressive cyclostationary spectrum sensing with a constant false alarm rate. EURASIP J. Wirel. Commun. Netw. 2017: 135 (2017) - 2016
- [b1]Andreas Bollig:
Spectrum sensing in cognitive radio. RWTH Aachen University, Germany, 2016 - [c7]Martijn Arts, Andreas Bollig, Rudolf Mathar:
Exact quickest spectrum sensing algorithms for eigenvalue-based change detection. ICUFN 2016: 235-240 - [i3]Andreas Bollig, Constantin Disch, Martijn Arts, Rudolf Mathar:
SNR-Walls in Eigenvalue-based Spectrum Sensing. CoRR abs/1610.03892 (2016) - [i2]Andreas Bollig, Martijn Arts, Anastasia Lavrenko, Rudolf Mathar:
Compressive Cyclostationary Spectrum Sensing with a Constant False Alarm Rate. CoRR abs/1610.04027 (2016) - 2015
- [c6]Anastasia Lavrenko, Reiner S. Thomä, Andreas Bollig:
Compressive energy detection for blind coarse wideband sensing: Comparative performance study. ISWCS 2015: 491-495 - [c5]Martijn Arts, Andreas Bollig, Rudolf Mathar:
Analytical test statistic distributions of the MMME eigenvalue-based detector for spectrum sensing. ISWCS 2015: 496-500 - [i1]Martijn Arts, Andreas Bollig, Rudolf Mathar:
Quickest Eigenvalue-Based Spectrum Sensing using Random Matrix Theory. CoRR abs/1504.01628 (2015) - 2013
- [c4]Andreas Bollig, Rudolf Mathar:
MMME and DME: Two new eigenvalue-based detectors for spectrum sensing in cognitive radio. GlobalSIP 2013: 1210-1213 - [c3]Andreas Bollig, Rudolf Mathar:
Dictionary-based reconstruction of the cyclic autocorrelation via ℓ1-minimization for cyclostationary spectrum sensing. ICASSP 2013: 4908-4912 - 2012
- [c2]Andreas Bollig, Steven Corroy, Rudolf Mathar:
Joint Sparse Spectrum Reconstruction and Information Fusion via L1-Minimization. VTC Spring 2012: 1-5 - 2011
- [c1]Steven Corroy, Andreas Bollig, Rudolf Mathar:
Distributed sensing of a slowly time-varying sparse spectrum using matrix completion. ISWCS 2011: 296-300
Coauthor Index
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