[SI-LIST] power spectral density of random signal with finite rise/fall time
- From: "Jan Vercammen" <jan.vercammen.jv1@xxxxxxxxxxxxxxxx>
- To: si-list@xxxxxxxxxxxxx
- Date: Wed, 30 Jan 2002 14:44:41 +0100
hello si-list (communication engineers),
I was wondering if someone knows a reference (article, paper, book, ...)
where the power spectral density
of a random digital signal with finite rise-fall time is described. It is
easy to find information on ideal random
digital signals. Here ideal means "with ideal steps" or unit-steps.
The ideal case is easy to calculate using the Wiener-Khichine theorem which
states that the autocorrrelation
function and the power spectral density form a fourier transform pair.
Ideal digital pulses have a triangular
autocorrelation function, but I was wondering what it would be if the
pulses have a finite rise-fall time. The
autocorrelation function would be "triangular-like", but is it possible (1)
to describe it analytically and, if so,
(2) is it possible to calculate it's fourrier transform?
thank you,
Jan Vercammen
EMC/PCB engineer
Agfa-Gevaert NV, Belgium
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