white noise in matlab
By using "cumsum", i.e. integrating (or accumulating) I was trying to create something similar to an ideal 1/f noise. However, this is probably not the right way to do it.
As an example, assume vector a = randn(1,1000) represent the period of a clock observed over 1000 cycles (period-to-period jitter), now if I synthesize a clock waveform with these random period; take the FFT of the clock waveform, remove the hamonics of the clock, I'm left with white noise, from which I can calculate the noise power and I should get the variance of my original vector.
Since each element of vector "a" is independent (memoryless), the noise is white, that's why I started thinking about accumulating, then I'm confused by what am I getting when I "integrate" a vector with Gaussian distribution.
Thanks