Hello,
today I found time to do concentrate on the proposed zero padding.
My Gaussian beam and the lenses have a diameter of approximately 2^16
array elements while the total array has a size of 2^18. The absolute
value of the Gaussian beam multiplied by the lenses converges to zero.
Out of this
Hello,
> When you convolve two signals, of lengths N and M, you need to pad the
> FFTs to length (N+M-1) before multiplication.
> You can take a look at my linear position-invariant filtering code at:
> http://mentat.za.net/hg/filter
I understand your comments that I need zero padding when doin
Sorry,
I have chosen the wrong title for this email. It should be a follow up
to the discussion 'Horizontal lines in diffraction image (NumPy FFT)'
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Hello,
> When you convolve two signals, of lengths N and M, you need to pad the
> FFTs to length (N+M-1) before multiplication.
> You can take a look at my linear position-invariant filtering code at:
> http://mentat.za.net/hg/filter
I understand your comments that I need zero padding when doi
Hello,
I am trying to calculate the propagation of a Gaussian beam with an
angular spectrum propagation algorithm.
My program does the following steps:
1. Generation and multiplication of the Gaussian beam, an aperture,
and a lens -> u
2. FFT(u)
3. Multiplication of FFT(u) with the angular spectru
Thanks Robert,
that is exactely what I was looking for.
Matthias
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Hello,
I want to calculate the root of a numpy array with negative numbers.
Here is an example:
x = linspace(-10,10,100)
h = zeros(100)
h[where(abs(x) < 2)] = sqrt( abs(x) -2 )
h[where(2 <= abs(x))] = 1j * sqrt( 2 - abs(x) )
Unfortunately I get the following error: Warning: invalid value
