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326 Chapter 7 FIR FILTER DESIGN<br />

4. Using the minimum stopband attenuation, the transition bandwidth<br />

can be accurately computed. It is shown in the accumulated amplitude<br />

response plot in Figure 7.9. This computed exact transition bandwidth is<br />

ω s − ω p = 1.8π<br />

M<br />

which is less than half the approximate bandwidth of 4π/M.<br />

Clearly, this is a simple window operation in the time domain and<br />

an easy function to analyze in the frequency domain. However, there are<br />

two main problems. First, the minimum stopband attenuation of 21 dB is<br />

insufficient in practical applications. Second, the rectangular windowing<br />

being a direct truncation of the infinite length h d (n), it suffers from the<br />

Gibbs phenomenon. Ifweincrease M, the width of each side lobe will<br />

decrease, but the area under each lobe will remain constant. Therefore, the<br />

relative amplitudes of side lobes will remain constant, and the minimum<br />

stopband attenuation will remain at 21 dB. This implies that all ripples<br />

will bunch up near the band edges. It is shown in Figure 7.10.<br />

Since the rectangular window is impractical in many applications,<br />

we consider other fixed window functions that provide a fixed amount<br />

Integrated Amplitude Response<br />

Integrated Amplitude Response<br />

M = 7<br />

1<br />

0<br />

−1 0 1<br />

frequency in π units<br />

M = 51<br />

1<br />

0<br />

−1 0 1<br />

frequency in π units<br />

Integrated Amplitude Response<br />

Integrated Amplitude Response<br />

M = 21<br />

1<br />

0<br />

−1 0 1<br />

frequency in π units<br />

M = 101<br />

1<br />

0<br />

−1 0 1<br />

frequency in π units<br />

FIGURE 7.10<br />

Gibbs phenomenon<br />

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