Hello,

I would like to investigate the effects of filters on a signal. I have

tried different nyquist filters like Sinc and RRC.

I would like to work with non-nyquist filter such as guassian. However, I am

not sure of the choice of 'sigma' for the filter.

The signal is a complex gaussian signal and has a certain variance, say v1.

I normalize this variance, so that the variance of real & imag part are both

equal & the variance of the scaled signal is 2 ( 1 of real & 1 of imag ).

Should I choose a gaussian filter with sigma(std.deviation) = sqrt(2) ? Or

If I don't change the variance of the original signal , what will the new

filtered signal represent?

I hope my doubts are clear !

Thanks!

Cheers,

Bavithi.