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Michael Fauss
Michael Fauss
Postdoctoral Research Fellow, Princeton University
Bestätigte E-Mail-Adresse bei princeton.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Old bands, new tracks—Revisiting the band model for robust hypothesis testing
M Fauß, AM Zoubir
IEEE Transactions on signal Processing 64 (22), 5875-5886, 2016
242016
A linear programming approach to sequential hypothesis testing
M Fauß, AM Zoubir
Sequential Analysis 34 (2), 235-263, 2015
212015
MMSE bounds for additive noise channels under Kullback–Leibler divergence constraints on the input distribution
A Dytso, M Fauß, AM Zoubir, HV Poor
IEEE Transactions on Signal Processing 67 (24), 6352-6367, 2019
152019
Minimax robust landmine detection using forward-looking ground-penetrating radar
AD Pambudi, M Fauß, F Ahmad, AM Zoubir
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 5032-5041, 2020
142020
Robust sequential testing of multiple hypotheses in distributed sensor networks
MR Leonard, M Stiefel, M Fauß, AM Zoubir
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
132018
Minimax robust detection: Classic results and recent advances
M Fauß, AM Zoubir, HV Poor
IEEE Transactions on signal Processing 69, 2252-2283, 2021
112021
Bayesian sequential joint detection and estimation
D Reinhard, M Fauß, AM Zoubir
Sequential Analysis 37 (4), 530-570, 2018
112018
An approach to joint sequential detection and estimation with distributional uncertainties
D Reinhard, M Fauß, AM Zoubir
2016 24th European Signal Processing Conference (EUSIPCO), 2201-2205, 2016
102016
Minimax optimal sequential hypothesis tests for Markov processes
M Fauß, AM Zoubir, HV Poor
92020
Bayesian sequential joint signal detection and signal-to-noise ratio estimation
D Reinhard, M Fauß, AM Zoubir
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
82019
In a one-bit rush: Low-latency wireless spectrum monitoring with binary sensor arrays
MS Stein, M Fauß
2018 IEEE Statistical Signal Processing Workshop (SSP), 223-227, 2018
82018
Sequential joint detection and estimation with an application to joint symbol decoding and noise power estimation
D Reinhard, M Fauß, AM Zoubir
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
72020
Distributed joint detection and estimation: A sequential approach
D Reinhard, M Fauß, AM Zoubir
2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020
72020
Robust power allocation for parallel Gaussian channels with approximately Gaussian input distributions
W Cao, A Dytso, M Fauß, G Feng, HV Poor
IEEE Transactions on Wireless Communications 19 (6), 3685-3699, 2020
72020
Block sparsity-based DOA estimation with sensor gain and phase uncertainties
H Huang, M Fauß, AM Zoubir
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
72019
A variational interpretation of the Cramér–Rao bound
M Fauß, A Dytso, HV Poor
Signal Processing 182, 107917, 2021
62021
Forward looking GPR-based landmine detection using a robust likelihood ratio test
AD Pambudi, M Fauß, F Ahmad, AM Zoubir
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
62019
Bayesian sequential joint detection and estimation under multiple hypotheses
D Reinhard, M Fauß, AM Zoubir
Sequential Analysis 41 (2), 143-175, 2022
52022
Bayesian risk with Bregman loss: A Cramér–Rao type bound and linear estimation
A Dytso, M Fauß, HV Poor
IEEE Transactions on Information Theory 68 (3), 1985-2000, 2021
52021
The vector Poisson channel: On the linearity of the conditional mean estimator
A Dytso, M Fauß, HV Poor
IEEE Transactions on Signal Processing 68, 5894-5903, 2020
52020
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