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17.4. Correlatioii Fimctions
423
time can be absolutely integrated (see Chapter 9 2.2). t h i s is suficieiit condition
for the c3xistcnce of the cleterministic functions. This property is not giveri for
auto-correlation fimctions, how~ver,it the linear average p, is non-~ero.
In order to o'vercorrie I b e difficulty statcd a l m ~ e ,the linear average can be
rernovt-itl horn thc outsct and instead of the signal .c(t>,the zero mean srgrd
( r ( f) ~ 1 % )can be cousidereti. Its aiito correlation function is called t l i ~autocovurmrm functzon of r ( l ) and is drnoktl by V J , ~ ( r):
ui/?,(T)
= E{(z(t) - PTl(.V(l -
z)- p 5 ) ) .
(17.38)
IJsing the calculation rules from Section 17.2.3 WP obtain
( 7 )=
PJ'(4
- P:
3
(17.39)
just as in (17 8). The properties of the airto-rovariance function col-iespor~dto
those of the auto-wrrelation function for z e ~ omean signals.