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See `reconstruction comparison example <https://python-sensors.readthedocs.io/en/latest/examples/reconstruction_comparison.html>` for more information on the methods of reconstruction.
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See `reconstruction comparison example <https://python-sensors.readthedocs.io/en/latest/examples/reconstruction_comparison.html>`__ for more information on the methods of reconstruction.
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.. figure:: docs/figures/vandermonde.png
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The constrained shapes currently implemented are: ``Circle``, ``Cylinder``, ``Line``, ``Parabola``, ``Ellipse``, ``Polygon``.
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A user can also define their own constraints using ``UserDefinedConstraints``, this type of constraint has the ability to take in either a function or a .py file which contains a functional definition of the constrained region.
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See `this example <https://python-sensors.readthedocs.io/en/latest/examples/Olivetti_constrained_sensing.html>` for more information.
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See `this example <https://python-sensors.readthedocs.io/en/latest/examples/Olivetti_constrained_sensing.html>`__ for more information.
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Classification
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^^^^^^^^^^^^^^
@@ -318,7 +318,7 @@ References
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- Klishin, Andrei A., J. Nathan Kutz, Krithika Manohar
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"Data-Induced Interations of Sparse Sensors" (2023)
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