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DigitalVideoAndHDTVAlgorithmsAndInterfaces.pdf

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Compensation of undesired<br />

phase response in a filter is<br />

known as equalization. This is<br />

unrelated to the equalization<br />

pulses that form part of sync.<br />

The terms nonrecursive and recursive<br />

are best used to describe filter<br />

implementation structures.<br />

IN<br />

0.25 IN<br />

In an IIR filter having just one tap, the designer’s ability<br />

to tailor frequency response is severely limited. An IIR<br />

filter can be extended by storing several previous filter<br />

results, and adding (or subtracting) a fraction of each to<br />

a fraction of the current input sample. In such a multitap<br />

IIR filter, a fine degree of control can be exercised<br />

over frequency response using just a handful of taps.<br />

Just three or four taps in an IIR filter can achieve frequency<br />

response that might take 20 taps in an FIR filter.<br />

However, there’s a catch: In an IIR filter, both attenuation<br />

and delay depend upon frequency. In the terminology<br />

of the previous section, an IIR filter exhibits<br />

nonlinear phase. Typically, low-frequency signals are<br />

delayed more than high-frequency signals. As I have<br />

explained, variation of delay as a function of frequency<br />

is potentially a very serious problem in video.<br />

An IIR filter cannot have exactly linear phase, although<br />

a complex IIR filter can be designed to have arbitrarily<br />

small phase error. Because IIR filters usually have poor<br />

phase response, they are not ordinarily used in video.<br />

(A notable exception is the use of field- and framebased<br />

IIR filters in temporal noise reduction, where the<br />

delay element comprises a field or frame of storage.)<br />

Owing to the dependence of an IIR filter’s result upon<br />

its previous results, an IIR filter is necessarily recursive.<br />

However, certain recursive filters have finite impulse<br />

response, so a recursive filter does not necessarily have<br />

infinite impulse response.<br />

CHAPTER 16 FILTERING AND SAMPLING 161<br />

∑<br />

R<br />

0.75<br />

OUT<br />

Figure 16.22 IIR (“recursive”) filter computes a weighted<br />

sum of input samples (here, just 1 ⁄ 4 times the current sample),<br />

and adds to this a weighted sum of previous result samples.<br />

Every IIR filter exhibits nonlinear phase response.

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