|
LSST Applications g0603fd7c41+501e3db9f9,g0aad566f14+23d8574c86,g0dd44d6229+a1a4c8b791,g2079a07aa2+86d27d4dc4,g2305ad1205+a62672bbc1,g2bbee38e9b+047b288a59,g337abbeb29+047b288a59,g33d1c0ed96+047b288a59,g3a166c0a6a+047b288a59,g3d1719c13e+23d8574c86,g487adcacf7+cb7fd919b2,g4be5004598+23d8574c86,g50ff169b8f+96c6868917,g52b1c1532d+585e252eca,g591dd9f2cf+4a9e435310,g63cd9335cc+585e252eca,g858d7b2824+23d8574c86,g88963caddf+0cb8e002cc,g99cad8db69+43388bcaec,g9ddcbc5298+9a081db1e4,ga1e77700b3+a912195c07,gae0086650b+585e252eca,gb0e22166c9+60f28cb32d,gb2522980b2+793639e996,gb3a676b8dc+b4feba26a1,gb4b16eec92+63f8520565,gba4ed39666+c2a2e4ac27,gbb8dafda3b+a5d255a82e,gc120e1dc64+d820f8acdb,gc28159a63d+047b288a59,gc3e9b769f7+f4f1cc6b50,gcf0d15dbbd+a1a4c8b791,gdaeeff99f8+f9a426f77a,gdb0af172c8+b6d5496702,ge79ae78c31+047b288a59,w.2024.19
LSST Data Management Base Package
|
Go to the source code of this file.
Classes | |
| class | lsst.scarlet.lite.fft.Fourier |
Namespaces | |
| namespace | lsst |
| namespace | lsst.scarlet |
| namespace | lsst.scarlet.lite |
| namespace | lsst.scarlet.lite.fft |
Functions | |
| np.ndarray | lsst.scarlet.lite.fft.centered (np.ndarray arr, Sequence[int] newshape) |
| np.ndarray | lsst.scarlet.lite.fft.fast_zero_pad (np.ndarray arr, Sequence[Sequence[int]] pad_width) |
| np.ndarray | lsst.scarlet.lite.fft._pad (np.ndarray arr, Sequence[int] newshape, int|Sequence[int]|None axes=None, str mode="constant", float constant_values=0) |
| tuple | lsst.scarlet.lite.fft.get_fft_shape (np.ndarray|Sequence[int] im_or_shape1, np.ndarray|Sequence[int] im_or_shape2, int padding=3, int|Sequence[int]|None axes=None, bool use_max=False) |
| Fourier | lsst.scarlet.lite.fft._kspace_operation (Fourier image1, Fourier image2, int padding, Callable op, Sequence[int] shape, int|Sequence[int] axes) |
| Fourier|np.ndarray | lsst.scarlet.lite.fft.match_kernel (np.ndarray|Fourier kernel1, np.ndarray|Fourier kernel2, int padding=3, int|Sequence[int] axes=(-2, -1), bool return_fourier=True, bool normalize=False) |
| np.ndarray|Fourier | lsst.scarlet.lite.fft.convolve (np.ndarray|Fourier image, np.ndarray|Fourier kernel, int padding=3, int|Sequence[int] axes=(-2, -1), bool return_fourier=True, bool normalize=False) |
1.10.0