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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 />

z-plane<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1<br />

-1 -0.5 0 0.5 1<br />

(b)<br />

Figure 5.5 Zeros of the z transform<br />

5.6 Stability of a system<br />

The term stability indicates the self-recovery capability of a system after disturbance is applied. If the impulse response<br />

decays with the time, the system has the capability of returning it original calm status. Therefore, the stability can be<br />

judged by whether the impulse response of the system decays <strong>to</strong> zero as n → ∞ . The following will be shown that the<br />

location of poles gives information about the stability of a system.<br />

Consider a simple transfer function with one pole<br />

z = α :<br />

Y ( z)<br />

1<br />

H ( z)<br />

= = (5.5)<br />

X ( z)<br />

z −α<br />

where α is a real constant. From the above,<br />

zY ( z)<br />

− α Y ( z)<br />

= X ( z)<br />

Y ( z)<br />

−αz<br />

−1<br />

Y ( z)<br />

= z<br />

−1<br />

X ( z)<br />

Apply the inverse z-transform <strong>to</strong> both sides, yielding the difference equation<br />

y[ n]<br />

= αy[<br />

n −1]<br />

+ x[<br />

n −1]<br />

(5.6)<br />

<strong>and</strong> by specifying an input as a unit impulse it can be known,<br />

h[ n]<br />

= αh[<br />

n −1]<br />

+ d [ n −1]<br />

(5.7)<br />

The impulse response function can be evaluated as<br />

71<br />

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