LSST Applications 29.0.1,g0fba68d861+132dd21e0a,g107a963962+1bb9f809a9,g1fd858c14a+005be21cae,g21d47ad084+8a07b29876,g325378336f+5d73323c8f,g330003fc43+40b4eaffc6,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+9c28a42a87,g4e0f332c67+5fbd1e3e73,g53246c7159+fcb1d3bbc8,g60b5630c4e+9c28a42a87,g67b6fd64d1+a38b34ea13,g78460c75b0+2f9a1b4bcd,g786e29fd12+cf7ec2a62a,g7b71ed6315+fcb1d3bbc8,g86c591e316+6b2b2d0295,g8852436030+bf14db0e33,g89139ef638+a38b34ea13,g8b8da53e10+e3777245af,g9125e01d80+fcb1d3bbc8,g989de1cb63+a38b34ea13,g9f1445be69+9c28a42a87,g9f33ca652e+52c8f07962,ga9baa6287d+9c28a42a87,ga9e4eb89a6+9f84bd6575,gabe3b4be73+1e0a283bba,gb037a4e798+f3cbcd26c0,gb1101e3267+e7be8da0f8,gb58c049af0+f03b321e39,gb89ab40317+a38b34ea13,gcf25f946ba+bf14db0e33,gd6cbbdb0b4+bce7f7457e,gd9a9a58781+fcb1d3bbc8,gde0f65d7ad+53d424b1ae,ge278dab8ac+222406d50a,ge410e46f29+a38b34ea13,ge80e9994a3+664d6357dc,gf67bdafdda+a38b34ea13
LSST Data Management Base Package
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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) |