Generating non-Gaussian signal
in [DSP]
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From: DigitalSignal on 6 Jul 2008 20:30 I wonder how to generate a non-Gaussian signal of which the Kurtosis can be controlled. James www.go-ci.com
From: julius on 7 Jul 2008 06:42 On Jul 6, 7:30 pm, DigitalSignal <digitalsignal...(a)yahoo.com> wrote: > I wonder how to generate a non-Gaussian signal of which the Kurtosis > can be controlled. > > Jameswww.go-ci.com I wonder what you have in your disposal to go about your task. I wonder how to help you if you don't say what you are starting with :-P.
From: DigitalSignal on 10 Jul 2008 16:21 It is a general question. We make dynamic signal analyzers. In a signal analyzer, the typical waveform signa sources include sine, white noise, swept sine, saw tooth, square etc.. The white noise is always Gaussian type (with Kuotosis 3). This signal is usually generated by summing up a few uniformly distributed random numbers. In order to simulate what is happenning in the physical world, some users ask for a random signal of which the Kuotosis is larger than 3. We don't have a easy way to generate such as signal. James www.go-ci.com
From: dbell on 10 Jul 2008 16:45 On Jul 7, 6:42 am, julius <juli...(a)gmail.com> wrote: > On Jul 6, 7:30 pm, DigitalSignal <digitalsignal...(a)yahoo.com> wrote: > > > I wonder how to generate a non-Gaussian signal of which the Kurtosis > > can be controlled. > > > Jameswww.go-ci.com > > I wonder what you have in your disposal to go about your task. > I wonder how to help you if you don't say what you are starting > with :-P. I usualy have food-related garbage in my disposal, but I turn on the water, flip the switch, and the garbage is gone. Turn off the switch, turn off the water, and I am on my way. Dirk
From: Piergiorgio Sartor on 10 Jul 2008 16:48
DigitalSignal wrote: > It is a general question. We make dynamic signal analyzers. In a > signal analyzer, the typical waveform signa sources include sine, > white noise, swept sine, saw tooth, square etc.. The white noise is > always Gaussian type (with Kuotosis 3). This signal is usually > generated by summing up a few uniformly distributed random numbers. In > order to simulate what is happenning in the physical world, some users > ask for a random signal of which the Kuotosis is larger than 3. We > don't have a easy way to generate such as signal. Well, since a Gaussian (noise) is fully defined by its mean and variance, I guess you'll first to backtrace the Kurtosis to the variance. The, I still guess, multiplying the normal noise N(0,1) by the square root of the wanted variance "s", will give you N(0, s), hence the wanted Kurtosis. bye, -- piergiorgio |