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Moving window solution for Euler deconvolution#85
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Before it required a list of indices because it took the number of data by `len(indices)`. Taking that away allows using bool numpy arrays which are faster to create.
Enabled by a MovingWindow class that takes an Euler instance and runs it on moving windows. Keeps only a specified percentage of the best estimates (by using an estimated error like in ExpandingWindow).
leouieda
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Jan 14, 2014
Moving window solution for Euler deconvolution
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Implemented a
MovingWindowclass that takes an Euler solver and window parameters. Callingfitwill run the deconvolution on a moving window, producing a set of estimates. Will keep only a specified percentage of the best estimates. Estimates are ranked using the estimated error from the inverse of the Hessian matrix, like inExpandingWindow.