Jaidev Deshpande
Jaidev Deshpande
- [ ] Scope of the toolbox - [ ] Real world examples - [ ] Expose toolbox as generators and processing utilities
Since v0.19.0, scipy supports an STFT function: https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.stft.html [`tftb.processing.linear.ShortTimeFourierTransform`](https://github.com/scikit-signal/pytftb/blob/master/tftb/processing/linear.py#L18) should only be a wrapper around this.
Function parameters like `time_samples` and `timestamps` are used in multiple places varyingly, but they mean the same thing. Secondly, many distributions don't accept sampling frequency as an input. This needs...
Readthedocs doesn't use the makefile, therefore the change made here 186d7105d6d6f0160adf48e13560da72b9cab9af causes readthedocs to drop api generation altogether. As of now the files have to be tracked. These might help:...
By default. if timestamps of a signal are not provided, integer indices are used. When they are provided, they cannot be arbitrary timestamps since the signal is sliced using timestamps...
Should be able to do things like: ```python model.fit() model.fit_transform() model.transform() ``` where only the model (which is a `BaseTFRepresentation`) changes. Maybe add support for pipelines too.
http://dsp.stackexchange.com/questions/10183/what-is-spectral-whitening
Note that extracting peaks with Hough transform is already supported - maybe generalization of the same for any kind of TFR should work.
As a benchmark, compare TFRs here with those in `mne.time_frequency` (http://www.martinos.org/mne/stable/python_reference.html#time-frequency)