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352 Chapter 7 FIR FILTER DESIGN<br />

Lowpass: M=60,T1=0.59, T2=0.109<br />

Impulse Response<br />

1<br />

0.2<br />

Hr(k)<br />

0.59<br />

h(n)<br />

0.1<br />

0.109<br />

0<br />

0 0.2 0.3 1<br />

frequency in π units<br />

Amplitude Response<br />

1<br />

0<br />

−0.1<br />

0 20 40 60<br />

n<br />

0<br />

Magnitude Response<br />

Hr(w)<br />

0.59<br />

Decibels<br />

63<br />

0.109<br />

0<br />

0 0.2 0.3 1<br />

frequency in π units<br />

0 0.2 0.3 1<br />

frequency in π units<br />

FIGURE 7.29 Lowpass filter design plots in Example 7.16<br />

The time- and the frequency-domain plots are shown in Figure 7.29. The minimum<br />

stopband attenuation is now at 63 dB, which is acceptable. □<br />

□ EXAMPLE 7.17 Design the bandpass filter of Example 7.10 using the frequency sampling technique.<br />

The design specifications are these:<br />

lower stopband edge: ω 1s =0.2π,<br />

A s =60dB<br />

lower passband edge: ω 1p =0.35π, R p =1dB<br />

upper passband edge: ω 2p =0.65π<br />

upper stopband edge: ω 2s =0.8π<br />

R p =1dB<br />

A s =60dB<br />

Solution<br />

Let us choose M =40sothat we have two samples in the transition band.<br />

Let the frequency samples in the lower transition band be T 1 and T 2. Then the<br />

samples of the amplitude response are<br />

H r (ω) =[0,...,0 ,T<br />

} {{ } 1,T 2, 1,...,1 ,T<br />

} {{ } 2,T 1, 0,...,0 ,T<br />

} {{ } 1,T 2, 1,...,1 ,T<br />

} {{ } 2,T 1, 0,...,0 ]<br />

} {{ }<br />

5<br />

7<br />

9<br />

7<br />

4<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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