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FCs are currently stored as complex, however, it is possible that one may wish to store amplitude, phase instead of real/imaginary, or that they may wish to store other features at the FC level, that are real, or boolean valued.
The FC Level Dataset also assumes linear spaced frequencies, but we may wish to calculate and store some features of FCs (such as cross-spectra) on log-spaced bands. To make this work we would want from_xarray() to store the coordinates of the incoming array somewhere, and access them when we call to_xarray()
It is possible that we should we consider a frequency domain features layer instead of modifying the FC layer.
Possibly we want to be able to define the dtype for a group based on the data passed in:
FCs are currently stored as complex, however, it is possible that one may wish to store amplitude, phase instead of real/imaginary, or that they may wish to store other features at the FC level, that are real, or boolean valued.
The FC Level Dataset also assumes linear spaced frequencies, but we may wish to calculate and store some features of FCs (such as cross-spectra) on log-spaced bands. To make this work we would want from_xarray() to store the coordinates of the incoming array somewhere, and access them when we call to_xarray()
It is possible that we should we consider a frequency domain features layer instead of modifying the FC layer.
Possibly we want to be able to define the dtype for a group based on the data passed in:
SUPPORTED_DTYPES = {"complex":complex,"float":float, "int":int}
and then pass a kwarg to
add_channel
such as dtype="complex"then
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