How can I apply a window function like Hamming or Lanczos to a signal, using its coefficients?
I mean, which method can I use to do this? FFT? Convolution? Which method has the better performance?
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4One typically does a vector multiply of a window function, scaled to the same vector length as the data, and the data vector, before an FFT. – hotpaw2 Mar 14 '12 at 02:39
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Please describe your application in more detail. – nibot Mar 16 '12 at 21:27
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How can I apply a window function like Hamming or Lanczos to a signal, using its coefficients?
Just multiply, point-by-point.
nibot
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I wrote this long answer for someone yesterday on stackoverflow.com . .
It is a matlab based example showing how to use the FFT for analysis, but it might give you some ideas About half way through the second code block, I apply a window function to a buffered signal. This is effectively a vector multiplication of the window function with each buffered block of time series data. I just use a sneaky diagonal matrix trick to do it efficiently.
