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Co-authored-by: Erik Tollerud <[email protected]>
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pllim and eteq committed May 24, 2022
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6 changes: 3 additions & 3 deletions docs/synphot/filter_par.rst
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Expand Up @@ -8,10 +8,10 @@ Parameterized Filters
The algorithm for parameterized filters here was originally developed by
Brett Morris for the `tynt <https://github.com/bmorris3/tynt/>`_ package.

Some filters could be approximated using Fast Fourier Transform (FFT).
Filter responses can be approximated using Fast Fourier Transform (FFT).
If a filter is approximated this way, one only needs to store its FFT
parameters instead of all the sampled data points. This would reduce the
storage size and increase performance, at the cost of reduced accuracy.
parameters instead of all the sampled data points. This reduces the
storage size and increases performance, at the cost of reduced accuracy.
If you decide to use the parameterization functions provided here,
it is up to you to decide whether the results are good enough for your
use cases or not.
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