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Here we give a quick description of what is probably the most popular family of filter coefficients and —those proposed by Daubechies.
Recall the iterated synthesis filterbank. Applying the Noble identities, we can move the up-samplers before the filters, asillustrated in .
The properties of the -stage cascaded lowpass filter
Let us denote the impulse response of by . Writing in the time domain, we have Now define the function where denotes the indicator function over the interval : The definition of implies
There is an interesting and important by-product of the preceding analysis. If is a causal length- filter, it can be shown that is causal with length . By construction, then, will be zero outside the interval . Assuming that the regularity conditions are satisfied so that , it follows that must be zero outside the interval . In this case we say that has compact support . Finally, the wavelet scaling equation implies that, when is compactly supported on and is length , will also be compactly supported on the interval .
Daubechies constructed a family of with impulse response lengths which satisfy the regularity conditions. Moreover, her filters have the maximum possible number of zeros at , and thus are maximally regular (i.e., they yield the smoothest possible for a given support interval). It turns out that these filters are the maximally flat filters derived by Herrmann long before filterbanks and wavelets were in vogue. In and we show , , , and for various members of the Daubechies' wavelet system.
See Vetterli and Kovacivić for a more complete discussion of these matters.
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