Convolution is one of the
jewels of
Fourier analysis.
It is the
Fourier transform of the multiplication operator and useful in
physics and
signal processing.The
integral equation for using the
quantum mechanical propagator K reduces to a convolution if it depends only on relative differences in space and time. K=K(x-x',t-t')
Here is a patch using convolution with a drifting time series and a set of different kernel functions. The
output time series is the convolution of the
input time series and the
kernel function. Click on all of the different kernel functions to see how they change the output signal.
We are colonizing a field. Source code in comments section.
We are colonizing a field. Source code in comments section.
1 comment:
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