P. Zhai, G. Joseph, N. J. Myers, Ç. Önen, and A. Pandharipande, Spatial Sparsity-Aware Radar-LiDAR Fusion for Occupancy Grid Mapping in Automotive Driving, accepted in IEEE Sensors Journal.
Y. He and G. Joseph, Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals, accepted in IEEE Transactions on Signal Processing, 2025.
G. Joseph, V. Gandikota, A. Bhandari, J. Choi, I. Kim, G. Lee, M. Matthaiou, C. R. Murthy, H. Q. Ngo, P. K. Varshney, T. Wimalajeewa, W. Yi, Y. Yuan, and G. Zhang, Low-Resolution Compressed Sensing and Beyond for Communications and Sensing: Trends and Opportunities, in Elsevier Signal Processing, Mar. 2025 (invited survey paper).
Y. He and G. Joseph, Bayesian Algorithms for Kronecker-structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation, in IEEE Transactions on Signal Processing, vol. 73, pp. 142-157, 2025.
P. Kumar, G. Joseph, C. R. Murthy, and R. Padhi, Comprehensive MPSP for Fast Optimal Control: Algorithm Development and Convergence Analysis, accepted in Transactions of the Indian National Academy of Engineering, Oct. 2024
L. Ballotta, G. Joseph, I. R. Thete, Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee, in IEEE Control Systems Letters, vol. 8, pp. 2361-2366, 2024
E. Focante, N. J. Myers, G. Joseph, A. Pandharipande, Adaptive Beamforming for Situation-aware Automotive Radars Under Uncertain Side Information, in IEEE Transactions on Radar Systems, vol. 2, pp. 699-711, 2024.
G. Joseph, C. Zhong, M. C. Gursoy, S. Velipasalar, and P. K. Varshney, Anomaly Detection via Learning-Based Sequential Controlled Sensing, in IEEE Sensors Journal, vol. 24, no. 13, pp. 21025-21037, Jul. 2024.
G. Joseph, Convergence of Expectation-Maximization Algorithm with Mixed-Integer Optimization, in IEEE Signal Processing Letters, vol. 31, pp. 1229-1233, Apr. 2024.
Ç. Önen, A. Pandharipande, G. Joseph, and N. J. Myers, Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity, in IEEE Sensors Journal, vol. 24, no. 7, pp. 9240-9250, 1 Apr. 2024 (featured in IEEE Sensors Alert).
G. Joseph, C. Zhong, M. C. Gursoy, S. Velipasalar, and P. K. Varshney, Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing, in IEEE Transactions on Signal and Information Processing over Networks, vol. 9, pp. 640-654, Sep. 2023
C. Sriram, G. Joseph, and C. R. Murthy, Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs, in IEEE Transactions on Automatic Control, vol. 68, no. 8, pp. 5014-5021, Aug. 2023.
G. Joseph, Output Controllability of a Linear Dynamical System with Sparse Controls, in IEEE Transactions on Control of Network Systems, vol. 10, no. 1, pp. 147-156, Mar. 2023.
G. Joseph, Controllability of a Linear System with Nonnegative Sparse Controls, IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 468-473, Jan. 2022.
G. Joseph, B. Nettasinghe, V. Krishnamurthy, and P. K. Varshney, Controllability of Network Opinion in Erdos-Renyi Graphs using Sparse Control Inputs, in SIAM Journal on Control and Optimization, vol. 59, no. 3, pp. 2321-2345, 2021.
G. Joseph and P. K. Varshney, Measurement Bounds for Compressed Sensing in Sensor Networks with Missing Data, in IEEE Transactions on Signal Processing, vol. 69, pp. 905-916, 2021.
G. Joseph and C. R. Murthy, Controllability of Linear Dynamical Systems Under Input Sparsity Constraints, in IEEE Transactions on Automatic Control, vol. 66, no. 2, pp. 924-931, Feb. 2021. Longer version
G. Joseph and C. R. Murthy, On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery, in IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 343-358, Jan. 2020. Additional supplemental material Matlab Code
G. Joseph and C. R. Murthy, Measurement Bounds for Observability of Linear Dynamical Systems under Sparsity Constraints, in IEEE Transactions on Signal Processing, vol. 67, no. 8, pp. 1992-2006, Apr. 15, 2019.
G. Joseph and C. R. Murthy, On the Observability of a Linear System with a Sparse Initial State, in IEEE Signal Processing Letters, vol. 25, no. 7, pp. 994–998, Jul. 2018.
G. Joseph and C. R. Murthy, A Noniterative Online Bayesian Algorithm for the Recovery of Temporally Correlated Sparse Vectors, in IEEE Transactions on Signal Processing, vol. 65, no. 20, pp. 5510–5525, Oct. 2017. Matlab code