tomodrgn.fft.ht3_center

ht3_center(possibly_batched_vols: ndarray) → ndarray

Batch-vectorized 3-D DHT of even-box sized volume(s) as numpy array Uses relationship DHT(x) == DFT(x).real - DFT(x).imag == (DFT(x) * (1 + i)).real Note: numpy promotes default input dtype np.float32 to output dtype np.float64

Parameters:

possibly_batched_vols – np.ndarray of volumes, shape ([N], D, D, D)

Returns:

np.ndarray of volumes DFT, shape ([N], D, D, D)