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Characteristics of Prototype Analog Filters 403<br />

FIGURE 8.14 Pole plot for Example 8.1<br />

A stable and causal filter H a (s) can now be specified by selecting<br />

poles in the left half-plane, and H a (s) can be written in the form<br />

H a (s) = ∏<br />

Ω N c<br />

LHP poles<br />

(s − p k )<br />

(8.48)<br />

□ EXAMPLE 8.1 Given that |H a(jΩ)| 2 =<br />

H a(s).<br />

1<br />

, determine the analog filter system function<br />

1+64Ω6 Solution<br />

From the given magnitude-squared response,<br />

|H a(jΩ)| 2 1<br />

=<br />

1+64Ω = 1<br />

6 ( Ω<br />

1+<br />

0.5<br />

) 2(3)<br />

Comparing this with expression (8.45), we obtain N =3and Ω c =0.5. The<br />

poles of H a(s)H a(−s) are as shown in Figure 8.14.<br />

Hence<br />

H a(jΩ) =<br />

=<br />

Ω 3 c<br />

(s − p 2)(s − p 3)(s − p 4)<br />

1/8<br />

(s +0.25 − j0.433)(s +0.5)(s +0.25 + j0.433)<br />

=<br />

0.125<br />

(s +0.5)(s 2 +0.5s +0.25)<br />

□<br />

8.3.2 MATLAB IMPLEMENTATION<br />

MATLAB provides a function called [z,p,k]=buttap(N) to design a normalized<br />

(i.e., Ω c =1)Butterworth analog prototype filter of order N,<br />

Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).<br />

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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