Comments (1)
I think you should be able to concatenate all the snapshots together, treating each as a single example, and feed them to SSPOR to get a reasonable set of sensor locations. For any fixed time for which you have measurements at those sensor values, you can reconstruct the whole pressure field at that point in time. As far as I'm aware, PySensors is not capable of evolving the pressure field in time (i.e. constructing the pressure field at time t2 given measurements at time t1).
I'm going to close this issue, but feel free to reopen it if you'd like to discuss further.
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Related Issues (8)
- Code example in README.rst is outdated HOT 4
- Sensor Grouping HOT 1
- Oversampling HOT 1
- Grid search with SSPOC HOT 6
- [Defect] In the case of cost_constrained_qr, the algorithm should error out if the number of sensors is larger than the number of samples HOT 2
- Package Update HOT 1
- Documentation: Vandermonde Example
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