December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How to do it…
In this section we will see how to compute the inverse Fourier transform.
The returned complex array contains y(0), y(1),..., y(n-1) where:
| Parameters |
x: array_like. Transformed data to invert. n: int, optional. Length of the inverse Fourier transform. If n < x.shape[axis], x is truncated. If n > x.shape[axis], x is zero-padded. The default results in n = x.shape[axis]. axis: int, optional. Axis along which the IFFTs are computed; the default is over the last axis (that is, axis=-1). overwrite_x: Boolean, optional. If True, the contents of x can be destroyed; the default is False. |
| Returns | ifft: ndarray of floats. The ... |
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