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FIR Filter Designs for Sampling Rate Conversion 513<br />

Input Signal: x1(n) = cos(πn/8)<br />

Input Signal: x2(n) = cos(πn/2)<br />

1<br />

1<br />

Amplitude<br />

0<br />

Amplitude<br />

0<br />

−1<br />

−1<br />

0 8 16 24 32<br />

n<br />

0 8 16 24 32<br />

n<br />

Output signal: y1(n): D = 2<br />

Output signal: y2(n): D = 2<br />

1<br />

1<br />

Amplitude<br />

0<br />

Amplitude<br />

0<br />

−1<br />

−1<br />

0 4 8 12 16<br />

m<br />

FIGURE 9.26 Signal plots in Example 9.12<br />

0 4 8 12 16<br />

m<br />

up to ω x,s . Let<br />

ω p = ω x,p and ω s =<br />

( 2π<br />

D − ω x,s<br />

)<br />

(9.56)<br />

be the passband and stopband edge frequencies, respectively, of the lowpass<br />

linear-phase FIR filter given in (9.51). Then we have the following<br />

filter design specifications:<br />

H r (ω) ≤ 1 ± δ 1 for |ω| ∈[0,ω p ]<br />

H r (ω) ≤±δ 2<br />

for |ω| ∈[ω s ,π]<br />

(9.57)<br />

where ω p and ω s are as given in (9.56) and δ 1 and δ 2 are the passband and<br />

stopband ripple parameters of the lowpass FIR filter, respectively. Note<br />

that it does not matter what the spectrum X(ω) is. We simply require<br />

that the product X(ω)H(ω) bevery small beginning at ω | =2π/D − ω x,s<br />

so that k ≠0terms in (9.53) do not provide significant contribution in<br />

the band [−ω x,s ,ω x,s ], which is required to be free of aliasing.<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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