cupyx.scipy.linalg.convolution_matrix¶

cupyx.scipy.linalg.convolution_matrix(a, n, mode='full')[source]¶

Construct a convolution matrix.

Constructs the Toeplitz matrix representing one-dimensional convolution.

Parameters

a (cupy.ndarray) – The 1-D array to convolve.
n (int) – The number of columns in the resulting matrix. It gives the length of the input to be convolved with a. This is analogous to the length of v in numpy.convolve(a, v).
mode (str) – This must be one of ('full', 'valid', 'same'). This is analogous to mode in numpy.convolve(v, a, mode).

Returns

The convolution matrix whose row count depends on

mode:: 'full' m + n -1 'same' max(m, n) 'valid' max(m, n) - min(m, n) + 1

Return type

cupy.ndarray