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17. Describing Rmdorri Signals
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random process A
random process B
Figuse 17.2: Randoiri processes A and I3 with a diffwirig distribution between thc indlviduitl smiple furletions
Taking the positive square root of the variancr giwt.; the standard deviutzorr
a z ( t ) . Variitricte and standard deviation are measures for the spread of the amplitudr around the linear averitge for a randnnl signal. The rttlldo~xrprocess A in
Figure 17.2 deariy has a lower variarice tlrrari random pro(
The linear average arid the variance are by far the most frequently used firstordcr pxprctcd values. When combined with second-order exp
sufficknt to chara rise many common random signals. For general raridorn signals it is possible to define inore first-order expected wliicv by choosing a different
f ( x ) in (17 3).
E
x
~ 17.2
~ ~
A general characterisation with firsbordcr expected values is obtained by
pntting
j ( z ) = E ( @ - ).
into (17.3) and determining tbr expected valuc dependent
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