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Frequency Sampling Design Techniques 355<br />

Highpass: M=33,T1=0.1095,T2=0.598<br />

1<br />

0.4<br />

0.2<br />

Impulse Response<br />

Hr(k)<br />

0.59<br />

h(n)<br />

0<br />

0.109<br />

0<br />

1<br />

0 .6 .8 1<br />

frequency in π units<br />

Amplitude Response<br />

−0.2<br />

−0.4<br />

0 10 20 30<br />

n<br />

Magnitude Response<br />

0<br />

Hr(w)<br />

0.59<br />

Decibels<br />

50<br />

0.109<br />

0<br />

0 .6 .8 1<br />

frequency in π units<br />

0 .6 .8 1<br />

frequency in π units<br />

FIGURE 7.31 Highpass filter design plots in Example 7.18<br />

MATLAB script:<br />

>> M = 33; alpha = (M-1)/2; Dw = 2*pi/M; l = 0:M-1; wl = Dw*l;<br />

>> k1 = 0:floor((M-1)/2); k2 = floor((M-1)/2)+1:M-1;<br />

>> Hrs = [j*Dw*k1,-j*Dw*(M-k2)];<br />

>> angH = [-alpha*Dw*k1, alpha*Dw*(M-k2)];<br />

>> H = Hrs.*exp(j*angH); h = real(ifft(H,M)); [Hr,ww,a,P]=Hr_Type3(h);<br />

The time- and the frequency-domain plots are shown in Figure 7.32. We observe<br />

that the differentiator is not a full-band differentiator.<br />

□<br />

□ EXAMPLE 7.20 Design a 51-point digital Hilbert transformer based on the ideal Hilbert transformer<br />

of (7.32).<br />

Solution<br />

From (7.32) the samples of the (imaginary-valued) amplitude response are<br />

given by<br />

⎧<br />

⌊ ⌋ M − 1<br />

−j, k =1,...,<br />

⎪⎨<br />

2<br />

jH r (k) = 0, k =0<br />

⌊ ⌋<br />

⎪⎩ M − 1<br />

+j, k = +1,...,M − 1<br />

2<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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