idstn#
- scipy.fftpack.idstn(x, type=2, shape=None, axes=None, norm=None, overwrite_x=False)[source]#
- Return multidimensional Discrete Sine Transform along the specified axes. - Parameters:
- xarray_like
- The input array. 
- type{1, 2, 3, 4}, optional
- Type of the DST (see Notes). Default type is 2. 
- shapeint or array_like of ints or None, optional
- The shape of the result. If both shape and axes (see below) are None, shape is - x.shape; if shape is None but axes is not None, then shape is- numpy.take(x.shape, axes, axis=0). If- shape[i] > x.shape[i], the ith dimension is padded with zeros. If- shape[i] < x.shape[i], the ith dimension is truncated to length- shape[i]. If any element of shape is -1, the size of the corresponding dimension of x is used.
- axesint or array_like of ints or None, optional
- Axes along which the IDST is computed. The default is over all axes. 
- norm{None, ‘ortho’}, optional
- Normalization mode (see Notes). Default is None. 
- overwrite_xbool, optional
- If True, the contents of x can be destroyed; the default is False. 
 
- Returns:
- yndarray of real
- The transformed input array. 
 
 - See also - dstn
- multidimensional DST 
 - Notes - For full details of the IDST types and normalization modes, as well as references, see - idst.- Examples - >>> import numpy as np >>> from scipy.fftpack import dstn, idstn >>> rng = np.random.default_rng() >>> y = rng.standard_normal((16, 16)) >>> np.allclose(y, idstn(dstn(y, norm='ortho'), norm='ortho')) True