Learning models and methods for multi-sensor systems

Clustered Greedy Algorithm for Large-Scale Sensor Selection

Deep learning-based compressive sampling optimization in massive MIMO systems

Sample-Efficient Robust MMV Recovery Algorithm

Neural Maximum-A-Posteriori Beamforming For Ultrasound Imaging

Low-rank tensor decompositions for quaternion multiway arrays

Exploiting Sparse Recovery Algorithms for Semi-Supervised Training of Deep Neural Networks for Direction-of-Arrival Estimation

Equivalence of aperture reduction in element space and constrained combination of DFT beams in beamspace

Neurally Augmented State Space Model for Simultaneous Communication and Tracking with Low Complexity Receivers

ContiNILM: A Continual Learning Scheme for Non-Intrusive Load Monitoring