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)
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Mar 30, 2018 - Python
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sensor-selection
Here are 6 public repositories matching this topic...
Insense is an optimization algorithm to select a few linear measurements from a large matrix in a sparse recovery task.
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Mar 8, 2020 - MATLAB
In this repository, we post MATLAB algorithms for selecting nodes of networks with nonlinear dynamics.
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Jun 8, 2020 - MATLAB
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"
jupyternotebooksignal-processingjupyter-notebookmulti-targetarray-processingicasspsensor-selectionangle-of-arrivalsparse-sensingicassp2023
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Jan 10, 2024 - Jupyter Notebook
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.
reinforcement-learningq-learningresource-managementiot-applicationsensor-selectionsmart-sensorscomputation-latencyprocessing-latency
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Oct 12, 2024 - C++
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
pythonnotebookpapersignal-processingradarelectrical-engineeringredundancyeusipcoarray-processingtnosensor-selectionnotebook-jupytermultiplicitytudelftactive-sensingcramer-rao-boundeusipco2024
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Aug 27, 2024 - Jupyter Notebook
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