significance of spectal peak with spectrum()
I am very much a naive and interested beginner, so I am not at all sure if you will find this reference http://snipurl.com/hq2j interesting.... S.
Uwe Ligges wrote:
Sebastian Leuzinger wrote:
the null hypothesis would be: one particular frequency peak is not significantly different from the background noise.
So you want to know, e.g., whether there is something going on at 1000 Hz? This is difficult: If you are considering the periodogram to be a density, then you do not know the distribution of the value of a single frequency, because it depends on the stuff going on at other frequencies. Second point is (and already asked): "Kind of [background] noise"? The only really easy test is for the Null "signal is white noise", hence H1 is "at least one non-white-noisy frequency". [If somebody knows a really good book or papers that cover other cases than the trivial one mentioned above, I am very interested to hear about them, BTW.] If you have another kind of noise (such as blue or pink noise), things become even worse. Uwe Ligges
On Friday 16 September 2005 09:28, you wrote:
Sebastian Leuzinger wrote:
Hello, has anybody got a simple recepie to test the significance level of the peaks after using spectrum() ?
What is you null hypothesis? - Kind of noise? - One particular frequency is noisy or all noisy? - ... Uwe Ligges
(R-version 2.0.1, linux SuSE9.3)
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