You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I have noticed that you implemented the inverse phi by adding -1 in the list of scale in your code, but i found that the resulf of the g.heat(tau=[-1]) was not equal to the g.inverse() on account of the definition of the g.Heat(), cause the kernel was defined as np.minimum(np.exp(-scale * x / G.lmax), 1), and it would return 1 in this case, so maybe i get a normal line instead of the actual inverse of filter g.
The text was updated successfully, but these errors were encountered:
Hi, I have noticed that you implemented the inverse phi by adding -1 in the list of scale in your code, but i found that the resulf of the g.heat(tau=[-1]) was not equal to the g.inverse() on account of the definition of the g.Heat(), cause the kernel was defined as np.minimum(np.exp(-scale * x / G.lmax), 1), and it would return 1 in this case, so maybe i get a normal line instead of the actual inverse of filter g.
The text was updated successfully, but these errors were encountered: