Geethu Joseph

Orcid: 0000-0002-5289-5403

According to our database1, Geethu Joseph authored at least 39 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Convergence of Expectation-Maximization Algorithm With Mixed-Integer Optimization.
IEEE Signal Process. Lett., 2024

Sparse Actuator Control of Discrete-Time Linear Dynamical Systems.
Found. Trends Syst. Control., 2024

Pointwise-Sparse Actuator Scheduling for Linear Systems With Controllability Guarantee.
IEEE Control. Syst. Lett., 2024

Sparse Actuator Scheduling for Discrete-Time Linear Dynamical Systems.
CoRR, 2024

Sparse Millimeter Wave Channel Estimation from Partially Coherent Measurements.
Proceedings of the IEEE International Conference on Communications, 2024

Situation-Aware Adaptive Transmit Beamforming for Automotive Radars.
Proceedings of the IEEE International Conference on Acoustics, 2024

Bayesian Learning-Based Kalman Smoothing For Linear Dynamical Systems With Unknown Sparse Inputs.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs.
IEEE Trans. Autom. Control., August, 2023

Output Controllability of a Linear Dynamical System With Sparse Controls.
IEEE Trans. Control. Netw. Syst., March, 2023

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Joint State and Input Estimation for Linear Dynamical Systems with Sparse Control.
CoRR, 2023

Anomaly Detection via Learning-Based Sequential Controlled Sensing.
CoRR, 2023

Minimal Input Structural Modifications for Strongly Structural Controllability.
CoRR, 2023

LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Structure-Aware Sparse Bayesian Learning-Based Channel Estimation for Intelligent Reflecting Surface-Aided MIMO.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Controllability of a Linear System With Nonnegative Sparse Controls.
IEEE Trans. Autom. Control., 2022

Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing.
CoRR, 2022

Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-field focusing using phased arrays with dynamic polarization control.
Proceedings of the 30th European Signal Processing Conference, 2022

State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data.
IEEE Trans. Signal Process., 2021

Controllability of Linear Dynamical Systems Under Input Sparsity Constraints.
IEEE Trans. Autom. Control., 2021

Controllability of Network Opinion in Erdös-Rényi Graphs Using Sparse Control Inputs.
SIAM J. Control. Optim., 2021

A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing.
Proceedings of the ICC 2021, 2021

One-Bit Compressed Sensing Using Untrained Network Prior.
Proceedings of the IEEE International Conference on Acoustics, 2021

Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing.
Proceedings of the IEEE Global Communications Conference, 2021

2020
On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery.
IEEE Trans. Signal Process., 2020

Sensor Placement for A Pairwise Sensing Model: Framework and Algorithms.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Measurement Bounds for Compressed Sensing with Missing Data.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Control of Linear Dynamical Systems Using Sparse Inputs.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

One-Bit Compressed Sensing Using Generative Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Anomaly Detection via Controlled Sensing and Deep Active Inference.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Measurement Bounds for Observability of Linear Dynamical Systems Under Sparsity Constraints.
IEEE Trans. Signal Process., 2019

Anomaly Imaging for Structural Health Monitoring Exploiting Clustered Sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
On the Observability of a Linear System With a Sparse Initial State.
IEEE Signal Process. Lett., 2018

2017
A Noniterative Online Bayesian Algorithm for the Recovery of Temporally Correlated Sparse Vectors.
IEEE Trans. Signal Process., 2017

2016
Reconstruction of a Gaussian random field with application to spectrum cartography.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
Online Recovery of Temporally Correlated Sparse Signals Using Multiple Measurement Vectors.
Proceedings of the 2015 IEEE Global Communications Conference, 2015


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