- #1
csand
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I'm having trouble understanding the results of a discrete convolution. I have two functions:
1) High resolution spectra
2) Gaussian curve
The point of this operation for me is put the high resolution data in terms of the lower resolution represented by the guassian curve (filter)
I convolve one with the other, and the results seem reasonable. However I do not understand how to interpret my units.
It is my understanding that the final "length" or domain of my convoluted function will be:
len(1) + len(2) - 1.
So if I'm dealing in wavelengths or such units for my original function (1), how do I now map my new convoluted values to wavelengths? The domain of my convoluted function is bigger than either domain other the two original functions.
Do I "center" my convoluted data around the original data (1) and trim the values on the outside?
My understanding of this is limited so I hope the context to the question I've asked is understandable. I can try to elaborate if more information is required.
Thanks in advance,
Chris
1) High resolution spectra
2) Gaussian curve
The point of this operation for me is put the high resolution data in terms of the lower resolution represented by the guassian curve (filter)
I convolve one with the other, and the results seem reasonable. However I do not understand how to interpret my units.
It is my understanding that the final "length" or domain of my convoluted function will be:
len(1) + len(2) - 1.
So if I'm dealing in wavelengths or such units for my original function (1), how do I now map my new convoluted values to wavelengths? The domain of my convoluted function is bigger than either domain other the two original functions.
Do I "center" my convoluted data around the original data (1) and trim the values on the outside?
My understanding of this is limited so I hope the context to the question I've asked is understandable. I can try to elaborate if more information is required.
Thanks in advance,
Chris