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The Frequency Domain Representation<br />

of LTI Systems 77<br />

10<br />

Magnitude Response<br />

8<br />

|H|<br />

6<br />

4<br />

2<br />

0<br />

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />

frequency in π units<br />

Phase Response<br />

0<br />

Phase in π Radians<br />

−0.1<br />

−0.2<br />

−0.3<br />

−0.4<br />

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />

frequency in π units<br />

FIGURE 3.7 Frequency response plots in Example 3.13<br />

then to evaluate its frequency response from (3.16), we would need the impulse<br />

response h(n). However, using (3.17), we can easily obtain H(e jω ).<br />

We know that when x(n) =e jωn , then y(n) must be H(e jω )e jωn . Substituting<br />

in (3.20), we have<br />

H(e jω )e jωn +<br />

N∑<br />

a l H(e jω )e jω(n−l) =<br />

l=1<br />

M∑<br />

b m e jω(n−m)<br />

m=0<br />

or<br />

∑ M<br />

H(e jω m=0<br />

)=<br />

b m e −jωm<br />

1+ ∑ N<br />

l=1 a (3.21)<br />

l e −jωl<br />

after canceling the common factor e jωn term and rearranging. This equation<br />

can easily be implemented in MATLAB, given the difference equation<br />

parameters.<br />

□ EXAMPLE 3.15 An LTI system is specified by the difference equation<br />

y(n) =0.8y(n − 1) + x(n)<br />

a. Determine H(e jω ).<br />

b. Calculate and plot the steady-state response y ss(n) to<br />

x(n) =cos(0.05πn)u(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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