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DigitalVideoAndHDTVAlgorithmsAndInterfaces.pdf

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1<br />

1+<br />

sin 0.44 ωt<br />

2<br />

0.5<br />

Figure 16.28 Reconstruction<br />

close to 0.5f S<br />

0<br />

1<br />

0.5<br />

0<br />

2 3 4 5 6 7<br />

Reconstruction close to 0.5f S<br />

Consider the example in Figure 16.28 of a sine wave at<br />

0.44f S. This signal meets the sampling criterion, and<br />

can be perfectly represented in the digital domain.<br />

However, from an intuitive point of view, it is difficult<br />

to predict the underlying sinewave from samples 3, 4,<br />

5, and 6 in the lower graph. When reconstructed using<br />

a Gaussian filter, the high-frequency signal vanishes. To<br />

be reconstructed accurately, a waveform with<br />

a significant amount of power near half the sampling<br />

rate must be reconstructed with a high-quality filter.<br />

(sin x)/x correction<br />

I have described how it is necessary for an analog<br />

reconstruction filter to follow digital-to-analog conversion.<br />

If the DAC produced an impulse “train” where the<br />

amplitude of each impulse was modulated by the corresponding<br />

code value, a classic lowpass filter would<br />

suffice: All would be well if the DAC output resembled<br />

my “point” graphs, with power at the sample instants<br />

and no power in between. Recall that a waveform<br />

comprising just unit impulses has uniform frequency<br />

response across the entire spectrum.<br />

Unfortunately for analog reconstruction, a typical DAC<br />

does not produce an impulse waveform for each<br />

sample. It would be impractical to have a DAC with an<br />

168 DIGITAL VIDEO AND HDTV ALGORITHMS AND INTERFACES

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