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Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise., , , , , and . IEEE Trans. Signal Process., (2022)Efficient Sensor Node Selection for Observability Gramian Optimization., , , , , and . Sensors, 23 (13): 5961 (July 2023)Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem., , , and . CoRR, (2020)Nondominated-Solution-Based Multi-Objective Greedy Sensor Selection for Optimal Design of Experiments., , , , , and . IEEE Trans. Signal Process., (2022)Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition., , , , , and . IEEE Access, (2022)Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem., , , and . IEEE Signal Process. Lett., (2021)Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM., , , , , and . CoRR, (2020)Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization., , , , and . IEEE Access, (2021)Determinant-Based Fast Greedy Sensor Selection Algorithm., , , , , , , and . IEEE Access, (2021)Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices., , , , , , and . IEEE Access, (2023)