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where the transition from the second to the third line uses the following facts: expectation and time-integration are linear operators and the impulse response h is deterministic Eqn (441) shows that the mean of the output process is the convolution of the impulse response with the mean of the input process In the case where the system is causal and the mean of the input process is constant, the mean of the output reduces to y (t) = H(0) w
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97 In digital audio tape recording and reproduction, the noise can be practically eliminated because (a) noise is analog in nature, and can be nulled or filtered out without degrading the digital signals (b) noise is digital in nature, and can be eliminated by means of specialized computer programs (c) music and voices are digital in nature, and can be reproduced multiple times without distortion (d) music and voices are analog in nature, while noise is digital and can therefore be canceled out (e) Forget it! In a digital audio tape recording system, noise is a more serious problem than it is in an analog system
The output autocorrelation function is slightly more complicated to derive Its derivation is addressed in two steps First, from eqn (429), we nd an expression for the cross correlation between y and w,
Rwy (t1 , t2 ) = E w(t1 )
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Rwy (t1 , t2 )
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E w(t1 )
E w(t1 )w( )
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Rw (t1 , )h(t2 ) d Rw (t1 , t2 )h( ) d (442)
Second, we derive the expression for the autocorrelation of y,
3
Ry (t1 , t2 ) = =
4
h(t1 )
E w( )w( )
5
h(t1 )Rwy ( , t2 )d h( )Rwy (t1 , t2 )d (443)
6
Rwy ( ) = Ry ( ) =
(444) (445)
7
The Fourier transforms of eqns (444-445) provide the cross power spectral density of y and w and the power spectral density of y Swy (j ) Sy (j ) = Sw (j )H(j ) = H(j )Swy (j ) = H(j )Sw (j )H(j ) (446) (447) (448)
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