Hi Ed,
On Tue, Jun 01, 2021 at 12:57:51AM +, Ed . wrote:
> That is what I was aiming to achieve (and have captured in hopefully-thorough
> tests). My thinking is that the linear algebra stuff is founded on matrices,
> with at least 2 dimensions. Therefore, getting something back that has at
Hi Daniel,
I think what you want to do is 1d real valued convolution? Have you
looked at PDL::Image2D / PDL::ImageND and the ocnv* functions?
Reshape your q and t with secnod dim 1 and try conv2d.
Of course you can do rfft1 / irfft1 directly. Instead of using cmul try
a simple *.
Slicing is
