Dmitriy Shutin
Cited by
Cited by
LDACS: Future aeronautical communications for air-traffic management
M Schnell, U Epple, D Shutin, N Schneckenburger
IEEE Communications Magazine 52 (5), 104-110, 2014
Sparse variational Bayesian SAGE algorithm with application to the estimation of multipath wireless channels
D Shutin, BH Fleury
IEEE Transactions on signal processing 59 (8), 3609-3623, 2011
Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models
NL Pedersen, CN Manchón, MA Badiu, D Shutin, BH Fleury
Signal processing 115, 94-109, 2015
Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models
NL Pedersen, CN Manchón, MA Badiu, D Shutin, BH Fleury
Signal processing 115, 94-109, 2015
Fast variational sparse Bayesian learning with automatic relevance determination for superimposed signals
D Shutin, T Buchgraber, SR Kulkarni, HV Poor
IEEE Transactions on Signal Processing 59 (12), 6257-6261, 2011
Decentralized multi-agent exploration with online-learning of gaussian processes
A Viseras, T Wiedemann, C Manss, L Magel, J Mueller, D Shutin, ...
2016 IEEE International Conference on Robotics and Automation (ICRA), 4222-4229, 2016
Delay-dependent Doppler probability density functions for vehicle-to-vehicle scatter channels
M Walter, D Shutin, UC Fiebig
IEEE Transactions on Antennas and Propagation 62 (4), 2238-2249, 2014
Mitigation of impulsive frequency-selective interference in OFDM based systems
U Epple, D Shutin, M Schnell
IEEE Wireless Communications Letters 1 (5), 484-487, 2012
Application of Bayesian hierarchical prior modeling to sparse channel estimation
NL Pedersen, CN Manchón, D Shutin, BH Fleury
arXiv preprint arXiv:1204.0656, 2012
Measurement of the L-band air-to-ground channel for positioning applications
N Schneckenburger, T Jost, D Shutin, M Walter, T Thiasiriphet, M Schnell, ...
IEEE Transactions on Aerospace and Electronic Systems 52 (5), 2281-2297, 2016
Incremental sparse Bayesian learning for parameter estimation of superimposed signals
D Shutin, W Wang, T Jost
10th International Conference on Sampling Theory and Applications, 6-9, 2013
Time-variant Doppler PDFs and characteristic functions for the vehicle-to-vehicle channel
M Walter, D Shutin, A Dammann
IEEE Transactions on Vehicular Technology 66 (12), 10748-10763, 2017
Cramér–Rao bounds for L‐band digital aeronautical communication system type 1 based passive multiple‐input multiple‐output radar
A Filip, D Shutin
IET Radar, Sonar & Navigation 10 (2), 348-358, 2016
Cluster analysis of wireless channel impulse responses with hidden Markov models
D Shutin, G Kubin
2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004
Model-based gas source localization strategy for a cooperative multi-robot system—A probabilistic approach and experimental validation incorporating physical knowledge and …
T Wiedemann, D Shutin, AJ Lilienthal
Robotics and Autonomous Systems 118, 66-79, 2019
Robotic active information gathering for spatial field reconstruction with rapidly-exploring random trees and online learning of Gaussian processes
A Viseras, D Shutin, L Merino
Sensors 19 (5), 1016, 2019
Incremental reformulated automatic relevance determination
D Shutin, SR Kulkarni, HV Poor
IEEE transactions on signal processing 60 (9), 4977-4981, 2012
Beehive-inspired information gathering with a swarm of autonomous drones
A Viseras, T Wiedemann, C Manss, V Karolj, D Shutin, J Marchal
Sensors 19 (19), 4349, 2019
Multi-agent exploration of spatial dynamical processes under sparsity constraints
T Wiedemann, C Manss, D Shutin
Autonomous Agents and Multi-Agent Systems 32 (1), 134-162, 2018
Regularized variational bayesian learning of echo state networks with delay&sum readout
D Shutin, C Zechner, SR Kulkarni, HV Poor
Neural Computation 24 (4), 967-995, 2012
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