PyDynamic
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PTB-M4D
Python library for the analysis of dynamic measurements
We might need this probably in the near future to provide a standardized interface to PyDynamic's metadata. We should consider schema.org as well.
We have a paper about uncertainty propagation in the Kalman-Filter and the implementation and should introduce the underlying algorithms into PyDynamic's `uncertainty` package.
At the moment we provide no shapes in the docstrings of this module. This is inconsistent with how we provide documentation for modules like `interpolate`.
These changes have been introduced in August 2019 with the comment: "[...] needs further testing and comment". Maybe the time has come to do that?!
This will resolve #157 when it is merged and thus introduces a new feature. Check the according issue for details.
**Is your feature request related to a problem? Please describe.** At the moment the [signal class](https://github.com/PTB-M4D/PyDynamic/blob/master/src/PyDynamic/signals.py) if not provided by the user, computes the sampling interval length as kind of...
Meanwhile we have a [Jupyter Notebook for the FIR example](https://pydynamic.readthedocs.io/en/v2.0.0/examples/digital_filtering/Design%20of%20a%20digital%20deconvolution%20filter%20%28FIR%20type%29.html) and an [rst file containing some more formulas](https://pydynamic.readthedocs.io/en/v2.0.0/Deconvolution%20by%20FIR.html). We should combine all info in the notebook and delete the other...
We discussed this already in 2018 and agreed on externalising the provided examples. These are spread over the subfolder [examples](https://github.com/PTB-M4D/PyDynamic/tree/master/examples) and [tutorials](https://github.com/PTB-M4D/PyDynamic/tree/master/tutorials) at the moment and should be collected in...
For instance in the module model_estimation.fit_filter we are converting back and forth those two formats and could probably improve performance by sticking to one form. This requires thorough checks of...
At the moment [make_equidistant](https://github.com/PTB-PSt1/PyDynamic/blob/23eb0ed97d7120ee79118034b931740a00093b3b/PyDynamic/misc/tools.py#L192) does not allow for reusing previously computed results. That means for similar, i. e. overlapping time series we have to compute the whole interpolant again and...