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434 Chapter 8 IIR FILTER DESIGN<br />

is essentially band-limited to a lowpass or bandpass filter in which there<br />

are no oscillations in the stopband.<br />

8.4.3 BILINEAR TRANSFORMATION<br />

This mapping is the best transformation method; it involves a well-known<br />

function given by<br />

s = 2 T<br />

1 − z −1 1+sT/2<br />

=⇒ z =<br />

1+z−1 1 − sT/2<br />

(8.65)<br />

where T is a parameter. Another name for this transformation is the linear<br />

fractional transformation because when cleared of fractions, we obtain<br />

T<br />

2 sz + T 2 s − z +1=0<br />

which is linear in each variable if the other is fixed, or bilinear in s and z.<br />

The complex plane mapping under (8.65) is shown in Figure 8.25, from<br />

which we have the following observations:<br />

1. Using s = σ + jΩ in(8.65), we obtain<br />

(<br />

z = 1+ σT 2 + j ΩT )/(<br />

1 − σT 2<br />

2 − j ΩT 2<br />

)<br />

(8.66)<br />

Hence<br />

1+ σT 2<br />

σ0=⇒|z| =<br />

+ j ΩT 2<br />

∣1 − σT 2 − j ΩT 2<br />

∣ < 1<br />

=1<br />

∣ > 1<br />

jΩ<br />

Im {z}<br />

Unit Circle<br />

σ<br />

One-to-one<br />

Transformation<br />

1 + (sT/2)<br />

= z<br />

1 − (sT/2)<br />

Re {z}<br />

s-plane<br />

z -plane<br />

FIGURE 8.25 Complex-plane mapping in bilinear transformation<br />

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Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

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