Andrea M. Tonello

University of Klagenfurt

Austria

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Articles (25)

Advanced Sensing Techniques for Cable Fault Detection Enhanced by Power-Line Communications and Integrated Feature-Image Analysis With Residual Neural Networks

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Year:

2025

Energy Shaping Control in Underactuated Robot Systems With Underactuation Degree Two

Article Link

Year:

2025

A Close Examination of the Multipath Propagation Stochastic Model for Communications over Power Lines

Article Link

Year:

2025

Advancing Interference Cancellation for In-Band Full-Duplex In-Home Broadband PLC Systems

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Year:

2025

Copula Density Neural Estimation

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Year:

2025

Sensing and Characterizing the Radio Frequency Field Scattered by a Human Target in an Indoor Environment

Article Link

Year:

2025

An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks

Article Link

Year:

2024

Investigating Integral Reinforcement Learning to Achieve Asymptotic Stability in Underactuated Mechanical Systems

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Year:

2024

An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks

Article Link

Year:

2024

Cooperative Bit Allocation in In-Band Full-Duplex Power Line Communication

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Year:

2024

Detection and identification of cable aging using power line communication technology

Article Link

Year:

2024

Inverse Modelling Techniques as Dynamic Digital Pre-Distortion for Broadband Systems for CS-DACs Based on Volterra Series Expansion

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Year:

2024

Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers

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Year:

2024

Phase-Domain Injected Training for Channel Estimation in Constant Envelope OFDM

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Year:

2023

Cooperative Channel Capacity Learning

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Year:

2023

Destination Scheduling for Secure Pinhole-Based Power-Line Communication

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Year:

2023

Model-Free Distributed Reinforcement Learning State Estimation of a Dynamical System Using Integral Value Functions

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Year:

2023

Topology-Based Machine Learning: Predicting Power Line Communication Quality in Smart Grids

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Year:

2023

An Innovative Control Design Procedure for Under-Actuated Mechanical Systems: Emphasizing Potential Energy Shaping and Structural Preservation

Article Link

Year:

2023

An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks

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Year:

2023

MIND: Maximum Mutual Information Based Neural Decoder

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Year:

2022

A Model-Based Approach Digital Pre-Distortion Method for Current-Steering Digital-to-Analog Converters

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Year:

2022

Selection Square Combining: A Fully-Distributed Radio Source Detector for Fast Fading Channels Based on Energy Measurements

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Year:

2022

Low-Complexity Power Allocation in Pilot-Pouring Superimposed-Training Over CB-FMT

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Year:

2021

A Novel Recursive Smooth Trajectory Generation Method for Unmanned Vehicles

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Year:

2021

Collaborators (4)

MARIA JULIA FERNANDEZ-GETINO GARCIA

Universidad Carlos III de Madrid

SPAIN

Elsbacher Gerhard

Research Professor

Technische Hochschule Ingolstadt

GERMANY

Kun Chen-Hu

Aalborg University

DENMARK

Ana García Armada

Universidad Carlos III de Madrid - Campus de Leganés

SPAIN

Andrea M. Tonello

Research Interests

Explore related searches

Contact this professor

Articles (25)

Advanced Sensing Techniques for Cable Fault Detection Enhanced by Power-Line Communications and Integrated Feature-Image Analysis With Residual Neural Networks

Energy Shaping Control in Underactuated Robot Systems With Underactuation Degree Two

A Close Examination of the Multipath Propagation Stochastic Model for Communications over Power Lines

Advancing Interference Cancellation for In-Band Full-Duplex In-Home Broadband PLC Systems

Copula Density Neural Estimation

Sensing and Characterizing the Radio Frequency Field Scattered by a Human Target in an Indoor Environment

An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks

Investigating Integral Reinforcement Learning to Achieve Asymptotic Stability in Underactuated Mechanical Systems

An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks

Cooperative Bit Allocation in In-Band Full-Duplex Power Line Communication

Detection and identification of cable aging using power line communication technology

Inverse Modelling Techniques as Dynamic Digital Pre-Distortion for Broadband Systems for CS-DACs Based on Volterra Series Expansion

Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers

Phase-Domain Injected Training for Channel Estimation in Constant Envelope OFDM

Cooperative Channel Capacity Learning

Destination Scheduling for Secure Pinhole-Based Power-Line Communication

Model-Free Distributed Reinforcement Learning State Estimation of a Dynamical System Using Integral Value Functions

Topology-Based Machine Learning: Predicting Power Line Communication Quality in Smart Grids

An Innovative Control Design Procedure for Under-Actuated Mechanical Systems: Emphasizing Potential Energy Shaping and Structural Preservation

An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks

MIND: Maximum Mutual Information Based Neural Decoder

A Model-Based Approach Digital Pre-Distortion Method for Current-Steering Digital-to-Analog Converters

Selection Square Combining: A Fully-Distributed Radio Source Detector for Fast Fading Channels Based on Energy Measurements

Low-Complexity Power Allocation in Pilot-Pouring Superimposed-Training Over CB-FMT

A Novel Recursive Smooth Trajectory Generation Method for Unmanned Vehicles

Collaborators (4)

MARIA JULIA FERNANDEZ-GETINO GARCIA

Elsbacher Gerhard

Kun Chen-Hu

Ana García Armada

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