Cluster analysis of wireless channel impulse responses with hidden Markov models. - Dmitriy Shutin; Gernot Kubin (ICASSP (4), 2004)

Application of the evidence procedure to the estimation of the number of paths in wireless channels. - Dmitriy Shutin; Bernard H. Fleury (ICASSP (3), 2005)

Tracking and Prediction of Multipath Components in Wireless MIMO Channels. - Dmitriy Shutin; Gernot Kubin (VTC Spring, 2007)

Application of the Evidence Procedure to the Estimation of Wireless Channels. - Dmitriy Shutin; Gernot Kubin; Bernard H. Fleury (EURASIP J. Adv. Signal Process., 2007)

Space-alternating attribute-distributed sparse learning. - Dmitriy Shutin; Haipeng Zheng; Bernard H. Fleury; Sanjeev R. Kulkarni; H. Vincent Poor (CIP, 2010)

Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems. - Dmitriy Shutin; Manfred Mücke (ICASSP, 2010)

Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts. - Christoph Zechner; Dmitriy Shutin (ICASSP, 2010)

Application of information-theoretic measures to quantitative analysis of immunofluorescent microscope imaging. - Dmitriy Shutin; Olga Zlobinskaya (Comput. Methods Programs Biomed., 2010)

Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. - Dmitriy Shutin; Sanjeev R. Kulkarni; H. Vincent Poor (CAMSAP, 2011)

A sliding-window online fast variational sparse Bayesian learning algorithm. - Thomas Buchgraber; Dmitriy Shutin; H. Vincent Poor (ICASSP, 2011)

Fast adaptive variational sparse Bayesian learning with automatic relevance determination. - Dmitriy Shutin; Thomas Buchgraber; Sanjeev R. Kulkarni; H. Vincent Poor (ICASSP, 2011)

Sparse Bayesian consensus-based distributed field estimation. - Thomas Buchgraber; Dmitriy Shutin (ICSPCS, 2011)

Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. - Dmitriy Shutin; Thomas Buchgraber; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Signal Process., 2011)

Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels. - Dmitriy Shutin; Bernard H. Fleury (IEEE Trans. Signal Process., 2011)

Application of Bayesian hierarchical prior modeling to sparse channel estimation. - Niels Lovmand Pedersen; Carles Navarro i Manchon; Dmitriy Shutin; Bernard H. Fleury (ICC, 2012)

Distributed variational sparse Bayesian learning for sensor networks. - Thomas Buchgraber; Dmitriy Shutin (MLSP, 2012)

Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks. - Dmitriy Shutin; Thomas Buchgraber (MLSP, 2012)

Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. - Dmitriy Shutin; Christoph Zechner; Sanjeev R. Kulkarni; H. Vincent Poor (Neural Comput., 2012)

Incremental Reformulated Automatic Relevance Determination. - Dmitriy Shutin; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Signal Process., 2012)

Mitigation of Impulsive Frequency-Selective Interference in OFDM Based Systems. - Ulrich Epple; Dmitriy Shutin; Michael Schnell (IEEE Wirel. Commun. Lett., 2012)

Sparse adaptive multipath tracking for low bandwidth ranging applications. - Nicolas Schneckenburger; Dmitriy Shutin (ICASSP, 2014)

LDACS: future aeronautical communications for air-traffic management. - Michael Schnell; Ulrich Epple; Dmitriy Shutin; Nicolas Schneckenburger (IEEE Commun. Mag., 2014)

A semismooth Newton method for adaptive distributed sparse linear regression. - Dmitriy Shutin; Boris Vexler (CAMSAP, 2015)

Exploration under sparsity constraints. - Christoph Manss; Dmitriy Shutin; Alberto Viseras Ruiz; Thomas Wiedemann 002; Joachim Müller 003 (ECMR, 2015)

Empirical relationship between local scattering function and joint probability density function. - Michael Walter 002; Thomas Zemen; Dmitriy Shutin (PIMRC, 2015)

Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models. - Niels Lovmand Pedersen; Carles Navarro i Manchon; Mihai-Alin Badiu; Dmitriy Shutin; Bernard Henri Fleury (Signal Process., 2015)

Distributed sparsity-based bearing estimation with a swarm of cooperative agents. - Dmitriy Shutin; Siwei Zhang (GlobalSIP, 2016)

Decentralized multi-agent exploration with online-learning of Gaussian processes. - Alberto Viseras Ruiz; Thomas Wiedemann 002; Christoph Manss; Lukas Magel; Joachim Müller 003; Dmitriy Shutin; Luis Merino (ICRA, 2016)

Measurement of the l-band air-to-ground channel for positioning applications. - Nicolas Schneckenburger; Thomas Jost; Dmitriy Shutin; Michael Walter 002; Thanawat Thiasiriphet; Michael Schnell; Uwe-Carsten Fiebig (IEEE Trans. Aerosp. Electron. Syst., 2016)

Sparse Bayesian learning with dictionary refinement for super-resolution through time. - Dmitriy Shutin; Boris Vexler (CAMSAP, 2017)

Probabilistic modeling of gas diffusion with partial differential equations for multi-robot exploration and gas source localization. - Thomas Wiedemann 002; Christoph Manss; Dmitriy Shutin; Achim J. Lilienthal; Valentina Karolj; Alberto Viseras Ruiz (ECMR, 2017)

Entropy Driven Height Profile Estimation with Multiple UAVs under Sparsity Constraints. - Christoph Manss; Thomas Wiedemann 002; Dmitriy Shutin (GLOBECOM Workshops, 2017)

Online information gathering using sampling-based planners and GPs: An information theoretic approach. - Alberto Viseras Ruiz; Dmitriy Shutin; Luis Merino (IROS, 2017)

Time-Variant Doppler PDFs and Characteristic Functions for the Vehicle-to-Vehicle Channel. - Michael Walter 002; Dmitriy Shutin; Armin Dammann (IEEE Trans. Veh. Technol., 2017)

Unmanned Aerial Vehicles in Wireless Sensor Networks: Automated Sensor Deployment and Mobile Sink Nodes. - Juan Marchal Gomez; Thomas Wiedemann 002; Dmitriy Shutin (IAS, 2018)

Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers. - Christoph Manss; Dmitriy Shutin; Geert Leus (ICASSP, 2018)

Modeling of Highly Non-Stationary Low Altitude Aircraft-to-Aircraft Channels. - Michael Walter 002; Dmitriy Shutin; Armin Dammann; David W. Matolak (MILCOM, 2018)

Multi-agent exploration of spatial dynamical processes under sparsity constraints. - Thomas Wiedemann 002; Christoph Manss; Dmitriy Shutin (Auton. Agents Multi Agent Syst., 2018)

Ambiguity Function Analysis for OFDM-Based LDACS Passive Multistatic Radar. - Alexandra Filip; Dmitriy Shutin (IEEE Trans. Aerosp. Electron. Syst., 2018)

Reflector Localization for Geometrical Modeling the Air-Ground Channel. - Nicolas Schneckenburger; Thomas Jost; Dmitriy Shutin; Michael Walter 002; Giovanni Del Galdo; Uwe-Carsten Fiebig (IEEE Trans. Veh. Technol., 2018)

Algebraic Analysis of the Poles in the Doppler Spectrum for Vehicle-to-Vehicle Channels. - Michael Walter 002; Dmitriy Shutin; Armin Dammann (IEEE Wirel. Commun. Lett., 2018)

Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints. - Christoph Manss; Dmitriy Shutin; Alberto Viseras; Geert Leus (CAMSAP, 2019)

Model-based gas source localization strategy for a cooperative multi-robot system - A probabilistic approach and experimental validation incorporating physical knowledge and model uncertainties. - Thomas Wiedemann 002; Dmitriy Shutin; Achim J. Lilienthal (Robotics Auton. Syst., 2019)

Analysis of Model Mismatch Effects for a Model-Based Gas Source Localization Strategy Incorporating Advection Knowledge. - Thomas Wiedemann 002; Achim J. Lilienthal; Dmitriy Shutin (Sensors, 2019)

Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes. - Alberto Viseras Ruiz; Dmitriy Shutin; Luis Merino (Sensors, 2019)

Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones. - Alberto Viseras Ruiz; Thomas Wiedemann 002; Christoph Manss; Valentina Karolj; Dmitriy Shutin; Juan Marchal Gomez (Sensors, 2019)

Analysis of Non-Stationary 3D Air-to-Air Channels Using the Theory of Algebraic Curves. - Michael Walter 002; Dmitriy Shutin; David W. Matolak; Nicolas Schneckenburger; Thomas Wiedemann 002; Armin Dammann (IEEE Trans. Wirel. Commun., 2019)

Spherical Wave Positioning Based on Curvature of Arrival by an Antenna Array. - Siwei Zhang; Thomas Jost; Robert Pöhlmann; Armin Dammann; Dmitriy Shutin; Peter Adam Hoeher (IEEE Wirel. Commun. Lett., 2019)

Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. - Ban-Sok Shin; Dmitriy Shutin (MLSP, 2020)

Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks. - Shengdi Wang; Ban-Sok Shin; Dmitriy Shutin; Armin Dekorsy (MLSP, 2020)

An Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments. - Valentina Karolj; Alberto Viseras; Luis Merino; Dmitriy Shutin (Sensors, 2020)

Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization. - Christoph Manss; Dmitriy Shutin; Geert Leus (IEEE Signal Process. Lett., 2020)

Geometric Analysis of the Doppler Frequency for General Non-Stationary 3D Mobile-to-Mobile Channels Based on Prolate Spheroidal Coordinates. - Michael Walter 002; Dmitriy Shutin; Martin Schmidhammer; David W. Matolak; Alenka G. Zajic (IEEE Trans. Veh. Technol., 2020)

ADAPT-Then-Combine Full Waveform Inversion for Distributed Subsurface Imaging In Seismic Networks. - Ban-Sok Shin; Dmitriy Shutin (ICASSP, 2021)

Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks. - Dmitriy Shutin; Ban-Sok Shin (IEEE Access, 2021)

Long Coherent Integration in Passive Radar Systems Using Super-Resolution Sparse Bayesian Learning. - Alexandra Filip-Dhaubhadel; Dmitriy Shutin (IEEE Trans. Aerosp. Electron. Syst., 2021)

OTE: Optimal Trustworthy EdgeAI solutions for smart cities. - Vasileios Mygdalis; Lorenzo Carnevale; José Ramiro Martinez de Dios; Dmitriy Shutin; Giovanni Aiello; Massimo Villari; Ioannis Pitas (CCGRID, 2022)

Gas Source Localization Based on Binary Sensing with a UAV. - Thomas Wiedemann 002; Marius Schaab; Juan Marchal Gomez; Dmitriy Shutin; Monika Scheibe; Achim J. Lilienthal (ISOEN, 2022)

Potential Field Based Swarm Exploration of Processes Governed by Partial Differential Equations. - Patrick Hinsen; Thomas Wiedemann 002; Dmitriy Shutin (ROBOT (2), 2022)

Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning. - Christoph Manss; Isabel Kuehner; Dmitriy Shutin (Entropy, 2022)

Distributed Traveltime Tomography Using Kernel-Based Regression in Seismic Networks. - Ban-Sok Shin; Dmitriy Shutin (IEEE Geosci. Remote. Sens. Lett., 2022)

Near-Surface Seismic Measurements in Gravel Pit, over Highway Tunnel and Underground Tubes with Ground Truth Information as an Open Data Set. - Ban-Sok Shin; Luis Wientgens; Marius Schaab; Dmitriy Shutin (Sensors, 2022)

Distributed Superresolution Gas Source Localization Based on Poisson Equation. - Dmitriy Shutin; Thomas Wiedemann 002; Patrick Hinsen (CAMSAP, 2023)

Parallel 2D Seismic Ray Tracing Using Cuda on a Jetson Nano. - Ban-Sok Shin; Luis Wientgens; Dmitriy Shutin (ICASSP, 2023)

Exploration and Gas Source Localization in Advection-Diffusion Processes with Potential-Field-Controlled Robotic Swarms. - Patrick Hinsen; Thomas Wiedemann 002; Dmitriy Shutin; Achim J. Lilienthal (Sensors, 2023)

Physics-Guided Neural Networks for Distributed Sparse Gas Source Localization Using Poisson's Equation and Green's Function Method. - Victor Scott Prieto Ruiz; Dmitriy Shutin; Thomas Wiedemann 002; Patrick Hinsen (EUSIPCO, 2024)

Imaging on the Edge: GPU-Accelerated Traveltime Tomography on a Jetson Nano. - Ban-Sok Shin; Luis Wientgens; Dmitriy Shutin (EUSIPCO, 2024)

Multi-Agent 3D Seismic Exploration Using Adapt-then-Combine Full Waveform Inversion in a hardware-in-the-loop System. - Ban-Sok Shin; Dhruv Patel; Luis Wientgens; Dmitriy Shutin; Armin Dekorsy (ICASSP, 2024)

Asymptotic Behavior of Super-Resolution Sparse Bayesian Learning. - Dmitriy Shutin (ICASSP, 2024)

Domain Knowledge Assisted Gas Tomography. - Thomas Wiedemann 002; Patrick Hinsen; Victor Scott Prieto Ruiz; Dmitriy Shutin; Achim J. Lilienthal (ISOEN, 2024)

Experimental Study of Gas Propagation: Parameter Identification and Analysis in a Wind Tunnel. - Patrick Hinsen; Thomas Wiedemann 002; Victor Scott Prieto Ruiz; Dmitriy Shutin; Achim J. Lilienthal (ISOEN, 2024)

Gas Source Localization Using Physics-Guided Neural Networks. - Victor Scott Prieto Ruiz; Patrick Hinsen; Thomas Wiedemann 002; Dmitriy Shutin; Constantin Christof (ISOEN, 2024)

Sampling and Exploration Strategies for Multi-Agent Seismic Imaging Using 3D Full Waveform Inversion. - Ban-Sok Shin; Dmitriy Shutin (SiPS, 2024)

Cramer-Rao Lower Bound for a Gas Source Localization Based on Poisson's Equation. - Dmitriy Shutin; Victor Scott Prieto Ruiz; Thomas Wiedemann 002; Patrick Hinsen; Armin Dammann (SiPS, 2024)

Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring. - Samuel Yanes Luis; Dmitriy Shutin; Juan Marchal Gómez; Daniel Gutiérrez-Reina; Sergio L. Toral Marín (CoRR, 2024)

Reciprocal Visibility. - Rakesh John Amala Arokia Nathan; Sigrid Strand; Dmitriy Shutin; Oliver Bimber (CoRR, 2024)

An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation. - Rakesh John Amala Arokia Nathan; Sigrid Strand; Daniel Mehrwald; Dmitriy Shutin; Oliver Bimber (CoRR, 2024)

Reciprocal Visibility for Guided Occlusion Removal With Drones. - Rakesh John Amala Arokia Nathan; Sigrid Strand; Dmitriy Shutin; Oliver Bimber (IEEE Geosci. Remote. Sens. Lett., 2024)

Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks. - Ban-Sok Shin; Dmitriy Shutin (IEEE Trans. Computational Imaging, 2024)

Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring. - Samuel Yanes Luis; Dmitriy Shutin; Juan Marchal Gómez; Daniel Gutiérrez-Reina; Sergio L. Toral Marín (Adv. Intell. Syst., 2024)

Mobile-to-Mobile Uncorrelated Scatter Channels. - Michael Walter 002; Martin Schmidhammer; Miguel A. Bellido-Manganell; Thomas Wiedemann 002; Dmitriy Shutin (IEEE Trans. Wirel. Commun., 2025)