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Window Design Techniques 323<br />

where<br />

⎧<br />

⎪⎨ some symmetric function with respect to<br />

w(n) = α over 0 ≤ n ≤ M − 1<br />

⎪⎩<br />

0, otherwise<br />

Depending on how we define w(n), we obtain different window designs.<br />

For example, in (7.20)<br />

{<br />

1, 0 ≤ n ≤ M − 1<br />

w(n) =<br />

= R M (n)<br />

0, otherwise<br />

which is the rectangular window defined earlier.<br />

In the frequency domain the causal FIR filter response H(e jω )isgiven<br />

by the periodic convolution of H d (e jω ) and the window response W (e jω );<br />

that is,<br />

H(e jω )=H d (e jω ) ∗○ W (e jω )= 1<br />

2π<br />

∫ π<br />

−π<br />

W ( e jλ) H d<br />

(e j(ω−λ)) dλ<br />

(7.22)<br />

This is shown pictorially in Figure 7.8 for a typical window response, from<br />

which we have the following observations:<br />

1. Since the window w(n) has a finite length equal to M, its response has<br />

a peaky main lobe whose width is proportional to 1/M , and has side<br />

lobes of smaller heights.<br />

H d (e jω )<br />

−π<br />

0<br />

π<br />

ω<br />

Ripples<br />

H(e jω )<br />

Transition<br />

Bandwidth<br />

−π<br />

0<br />

π<br />

−ω c ω c<br />

−π<br />

W (e jω )<br />

Max Side-lobe<br />

Height<br />

Main Lobe<br />

Width<br />

Periodic<br />

Convolution<br />

ω<br />

−ω c<br />

0 ω c<br />

Minimum<br />

Stopband<br />

Attenuation<br />

π<br />

ω<br />

FIGURE 7.8<br />

Windowing operation in the frequency domain<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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