tfmri.signal.filter_kspace

filter_kspace(kspace, trajectory=None, filter_fn='hamming', filter_rank=None, filter_kwargs=None)

Filter k-space.

Multiplies k-space by a filtering function.

Parameters

• kspace – A Tensor of any shape. The input k-space.

• trajectory – A Tensor of shape kspace.shape + [N], where N is the number of spatial dimensions. If None, kspace is assumed to be Cartesian.

• filter_fn – A str (one of 'hamming', 'hann' or 'atanfilt') or a callable that accepts a coordinate array and returns corresponding filter values.

• filter_rank – An int. The rank of the filter. Only relevant if k-space is Cartesian. Defaults to kspace.shape.rank.

• filter_kwargs – A dict. Additional keyword arguments to pass to the filtering function.

Returns

A Tensor of shape kspace.shape. The filtered k-space.