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508 Chapter 9 SAMPLING RATE CONVERSION<br />

Input Signal x(n)<br />

Amplitude Response<br />

1<br />

5<br />

Amplitude<br />

0<br />

Amplitude<br />

−1<br />

1<br />

0 4 8<br />

n<br />

Output Signal y(n): I = 5<br />

0<br />

0 0.1 0.3 1<br />

Frequency in π units<br />

Log–magnitude Response<br />

0<br />

Amplitude<br />

0<br />

Decibels<br />

−1<br />

0 20 40<br />

m<br />

−53<br />

−60<br />

0 0.1 0.3 1<br />

Frequency in π units<br />

FIGURE 9.23 Signal plots and filter design plots in Example 9.10<br />

set(gca,’xtick’,[0,wp/pi,ws/pi,1],’ytick’,[-60,round(min_attn),0]); grid<br />

ylabel(’Decibels’); xlabel(’Frequency in \pi units’,’vertical’,’middle’);<br />

title(’Log-magnitude Response’,’fontsize’,TF);<br />

The signal stem plots and filter design plots are shown in Figure 9.23. The<br />

designed filter has a minimum stopband attenuation of 53 dB, and the resulting<br />

interpolation is accurate even with the filter order of 32.<br />

□<br />

9.5.3 FIR INTEGER DECIMATION<br />

Consider the system in Figure 9.5 on page 481 in which the ideal lowpass<br />

filter is replaced by an FIR filter H(ω), which then results in the system<br />

shown in Figure 9.24. The relationship between Y (ω y ) and X(ω) isgiven<br />

by (9.24), which is repeated here for convenience<br />

Y (ω y )= 1 D<br />

D−1<br />

∑<br />

k=0<br />

(<br />

H ω − 2πk ) (<br />

X ω − 2πk )<br />

; ω = ω y<br />

D<br />

D<br />

D<br />

(9.53)<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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