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Introduction to Digital Signal and System Analysis - Tutorsindia

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<strong>Introduction</strong> <strong>to</strong> <strong>Digital</strong> <strong>Signal</strong> <strong>and</strong> <strong>System</strong> <strong>Analysis</strong><br />

Z Domain <strong>Analysis</strong><br />

2<br />

y [ n]<br />

= 2r<br />

cosq<br />

y[<br />

n −1]<br />

− r y[<br />

n − 2] + x[<br />

n]<br />

By evaluating the impulse response, it can be known that when the numbers of poles <strong>and</strong> zeros are equal, there is no<br />

longer a time delay.<br />

5.7 Evaluation of the Fourier transform in the z-plane<br />

Let z = exp(jW), i.e. as the phase angle W varies, but its modulus z = 1 keeps on the unit circle <strong>and</strong> takes values on the<br />

circle. From this viewpoint, the Fourier transform is a special z-transform.<br />

Example 5.8 A z-transform function<br />

Its frequency response is<br />

The magnitude<br />

Therefore,<br />

H ( W)<br />

=<br />

exp<br />

H ( W)<br />

=<br />

exp<br />

is given by<br />

( jW)<br />

− 0.8<br />

( jW) + 0. 8<br />

2<br />

2<br />

{( cosW − 0.8) + ( sin W)<br />

}<br />

2<br />

2<br />

( cosW + 0.8) + ( sin W)<br />

{ } 1/ 2<br />

z − 0.8<br />

H ( z)<br />

= , z + 0.8<br />

1/ 2<br />

1 − 0.8<br />

H ( 0) = H (2p<br />

) = = 0.1.1111<br />

1 + 0.8<br />

<strong>and</strong><br />

−1<br />

− 0.8<br />

H ( p ) = = 9.0<br />

−1<br />

+ 0.8<br />

Graphically, referring <strong>to</strong> the following Figure 5.6 (b), let<br />

z<br />

1<br />

p<br />

1<br />

= exp( jW)<br />

− 0.8<br />

= exp( jW)<br />

+ 0.8<br />

it can be seen that the quotient ( z<br />

H =<br />

p<br />

. This has explained the frequency selective property of a high pass.<br />

W ) 1<br />

1<br />

reaches the minimum at = 1<br />

0<br />

1<br />

W , <strong>and</strong> reaches the maximum at = p<br />

W 1<br />

75<br />

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