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DESIGN AND ANALYSIS OF ANALOG FILTERS A Signal ...

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A <strong>Signal</strong> Processing Perspective 45<br />

where<br />

and<br />

The frequencies and are center frequencies, and and<br />

are effective frequency widths, commonly denoted bandwidths. Note that for practical<br />

analog filters, is an even function, and therefore, when integrating over the<br />

entire axis, as indicated in (2.25) through (2.29), Therefore, for<br />

practical lowpass magnitude frequency responses, there is no need to compute or<br />

It should also be noted that, for the lowpass case, the bandwidths are doubled-sided.<br />

That is, the customary lowpass bandwidth, i.e., the one-sided value, would be the<br />

computed value divided by two.<br />

For frequency responses that are not lowpass, but rather bandpass, highpass,<br />

or bandstop, it is customary to perform the calculations on the lowpass prototype and<br />

then translate the results into the appropriate filter response type. Filters are generally<br />

designed first as a lowpass prototype, and then, if desired, transformed into a<br />

bandpass, highpass, or bandstop. Such transformations are the topic of Chapter 9.<br />

Time-bandwidth analysis, if performed, would generally be done on the lowpass<br />

prototype. For example, if a bandpass filter is to be designed, and if time-bandwidth<br />

analysis on the lowpass prototype indicated that and<br />

then these values would also be appropriate for the bandpass filter since the lowpass<br />

prototype and the bandpass response are related by a transformation, based on the<br />

modulation property of Fourier transforms, that produces a shift in the frequency<br />

Section 2.3 Time-Bandwidth Products

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