Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Insense is an optimization algorithm to select a few linear measurements from a large matrix in a sparse recovery task.

In this repository, we post MATLAB algorithms for selecting nodes of networks with nonlinear dynamics.

Jupyter Notebook associated with our submission for the 2023 ICASSP, "Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound"

Code for simulations in IEEE TNSE article "To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing" by L. Ballotta, G. Peserico, F. Zanini, and P. Dini.

Code accompanying "Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array" by Ids van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, and Mario Coutino