""" ========================================================= Legacy discrete Fourier transforms (:mod:`scipy.fftpack`) ========================================================= .. warning:: This submodule is now considered legacy, new code should use :mod:`scipy.fft`. Fast Fourier Transforms (FFTs) ============================== .. autosummary:: :toctree: generated/ fft - Fast (discrete) Fourier Transform (FFT) ifft - Inverse FFT fft2 - 2-D FFT ifft2 - 2-D inverse FFT fftn - N-D FFT ifftn - N-D inverse FFT rfft - FFT of strictly real-valued sequence irfft - Inverse of rfft dct - Discrete cosine transform idct - Inverse discrete cosine transform dctn - N-D Discrete cosine transform idctn - N-D Inverse discrete cosine transform dst - Discrete sine transform idst - Inverse discrete sine transform dstn - N-D Discrete sine transform idstn - N-D Inverse discrete sine transform Differential and pseudo-differential operators ============================================== .. autosummary:: :toctree: generated/ diff - Differentiation and integration of periodic sequences tilbert - Tilbert transform: cs_diff(x,h,h) itilbert - Inverse Tilbert transform: sc_diff(x,h,h) hilbert - Hilbert transform: cs_diff(x,inf,inf) ihilbert - Inverse Hilbert transform: sc_diff(x,inf,inf) cs_diff - cosh/sinh pseudo-derivative of periodic sequences sc_diff - sinh/cosh pseudo-derivative of periodic sequences ss_diff - sinh/sinh pseudo-derivative of periodic sequences cc_diff - cosh/cosh pseudo-derivative of periodic sequences shift - Shift periodic sequences Helper functions ================ .. autosummary:: :toctree: generated/ fftshift - Shift the zero-frequency component to the center of the spectrum ifftshift - The inverse of `fftshift` fftfreq - Return the Discrete Fourier Transform sample frequencies rfftfreq - DFT sample frequencies (for usage with rfft, irfft) next_fast_len - Find the optimal length to zero-pad an FFT for speed Note that ``fftshift``, ``ifftshift`` and ``fftfreq`` are numpy functions exposed by ``fftpack``; importing them from ``numpy`` should be preferred. Convolutions (:mod:`scipy.fftpack.convolve`) ============================================ .. module:: scipy.fftpack.convolve .. autosummary:: :toctree: generated/ convolve convolve_z init_convolution_kernel destroy_convolve_cache """ __all__ = ['fft','ifft','fftn','ifftn','rfft','irfft', 'fft2','ifft2', 'diff', 'tilbert','itilbert','hilbert','ihilbert', 'sc_diff','cs_diff','cc_diff','ss_diff', 'shift', 'fftfreq', 'rfftfreq', 'fftshift', 'ifftshift', 'next_fast_len', 'dct', 'idct', 'dst', 'idst', 'dctn', 'idctn', 'dstn', 'idstn' ] from .basic import * from .pseudo_diffs import * from .helper import * from .realtransforms import * from scipy._lib._testutils import PytestTester test = PytestTester(__name__) del PytestTester