Obviously there are some real patterns there, but when interpreting
low-resolution plots visually, be careful of Moire effects: view the
following image at multiple zoom levels as an example.
http://upload.wikimedia.org/wikipedia/commons/4/42/Divers_-_Illustrated_London_News_Feb_6_1873-2.PNG
My ow
Andrea,
I realized that my answer wouldn't be complete, but as people have
pointed out that's a substantially more difficult question, so I
wanted to give you a complete answer to just a subset of your problem.
I'm currently writing a variant that avoids the overlapping normal
vectors by interati
Andrea,
Here is how to do it with splines. I would be more standard to return
an array of normals, rather than two arrays of x and y components, but
it actually requires less housekeeping this way. As an aside, I would
prefer to work with rotations via matrices, but it looks like there's
no supp
I'm sorry that I don't have some example code for you, but you
probably need to break down the problem if you can't fit it into
memory: http://en.wikipedia.org/wiki/Overlap-add_method
Jonathan
On Tue, Feb 15, 2011 at 10:27 AM, wrote:
> On Tue, Feb 15, 2011 at 11:42 AM, Davide Cittaro
> wrote:
Is there a convention for dealing with NaN and Inf? I've found that
trusting the default behavior is a very bad idea:
---
from numpy import *
x = zeros((5,7))
x[:,3:] = nan
x[:,-1] = inf
savetxt('problem_array.txt',x,delimiter='\t')
x2 = loadtxt('problem_array.txt'
