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DigitalVideoAndHDTVAlgorithmsAndInterfaces.pdf

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Figure 16.17 5-tap<br />

FIR filter responses<br />

are shown for several<br />

choices of coefficient<br />

values (tap weights).<br />

Magnitude response, dB<br />

Figure 16.18 5-tap FIR<br />

filter including multipliers<br />

has coefficients [13, 56,<br />

118, 56, 13], scaled by 1 ⁄ 256 .<br />

The coefficients approximate<br />

a Gaussian; so does the<br />

frequency response. The<br />

multipliers can be implemented<br />

by table lookup.<br />

0<br />

-10<br />

-20<br />

-30<br />

-40<br />

0<br />

{-32, 72, 176, 72, -32}<br />

{13, 56, 118, 56, 13}<br />

{1, 1, 1, 1, 1}<br />

0.2π 0.4π 0.6π 0.8π π<br />

Frequency, ω, rad·s -1<br />

In the design of digital filters, control of frequency<br />

response is exercised in the choice of tap weights.<br />

Figure 16.18 below shows the block diagram of a filter<br />

having fractional coefficients chosen from a Gaussian<br />

waveform. The mid-gray curve in Figure 16.17 shows<br />

that this set of tap weights yields a lowpass filter having<br />

a Gaussian frequency response. By using negative coefficients,<br />

low-frequency response can be extended<br />

without deteriorating performance at high frequencies.<br />

The black curve in Figure 16.17 shows the response of<br />

a filter having coefficients [ -32⁄ 256, 72⁄ 256, 176⁄ 256,<br />

72⁄ 256 , -32⁄ 256 ]. This filter exhibits the same attenuation<br />

at high frequencies (about -18 dB) as the Gaussian, but<br />

has about twice the -6 dB frequency.<br />

Negative coefficients, as in the last example here,<br />

potentially cause production of output samples that<br />

exceed unity. (In this example, output samples above<br />

unity are produced at input frequencies about ω=0.3π,<br />

IN R R R R<br />

13 56<br />

256 256<br />

118 56 13<br />

256 256 256<br />

CHAPTER 16 FILTERING AND SAMPLING 155<br />

∑<br />

OUT

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