🚀 go-pugleaf

 In a previous article, rjk@sequent.uucp (Robert Kelley) writes:
>There are some obvious ways to generate 1/f time series, one way that
>comes to mind is to use an fft.  What I really want to do, is to generate
>a pseudo-random time series such that the spectral energy varies as 1/f
>(or, more generally, 1/(f**n)).
>
>Any ideas about how to do this?

Sure.  Just generate random noise (this should give you a more or less flat
frequency response when you view the FFT of it) and then run the data thru
a filter with the response you desire.  The advantage of this is that it is
done in the time domain so you can create as much data as you desire and do
it fairly fast.  You also don't need to do things in 'batches' where you would
if you tried to use the FFT in the process.  Each time you wanted to do the
conversion with an FFT, you would have to create a bunch of data points, FFT
them, Scale them, and then IFFT them.  Messy, plus lots of math which means
lots of time required.  Create an FIR filter program and give it a time domain
response that gives you the 1/f frequency domain response you desire. 
Generating the time domain impulse response of such a filter and choosing the
number of filter coefficients is left as an exercise to the interested reader.
:-)


>Robert Kelley
>rjk@sequent.com

   -dave

-- 
Dave McMahan                            mcmahan@netcom.com
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