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Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
book

Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

by John J. Shynk
November 2012
Intermediate to advanced
794 pages
22h 9m
English
Wiley-Interscience
Content preview from Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

8.9 PASSBAND SIGNALS

So far, we have focused on random signals whose PSDs are located at the origin which are referred to as baseband signals. In most communication systems, one is interested in signals whose PSDs are located about some center frequency fc, where typically inline. Such signals are called passband signals. Figure 8.14 provides examples of SXX(f) for baseband and passband signals. Observe that the one-sided bandwidth (for inline) of the baseband signal is B whereas it is 2B for the passband signal. The reason for this is that a passband signal is often generated from a baseband signal via modulation of a sinusoidal signal with carrier frequency fc. Typically, for a passband signal the bandwidth is inline, for which case it is called a narrowband passband signal.

Figure 8.14 PSDs. (a) Baseband random process X(t). (b) Passband random process Y(t) obtained by modulating X(t).

ch10fig014.eps

Let X(t) be a random process with baseband PSD SXX(f) and one-sided bandwidth B. Suppose X(t) is multiplied by a sinusoidal waveform with known carrier frequency fc:

(8.162)

In order to determine SYY(f), the autocorrelation ...

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Publisher Resources

ISBN: 9781118393956Purchase book