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U. Glaeser

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For the discrete wavelet expansion, called DWT, a two-dimensional set of coefficients<br />

in such a way that<br />

© 2002 by CRC Press LLC<br />

akl<br />

is constructed<br />

(27.5)<br />

where the function ψ(<br />

t),<br />

called wavelet (small wave), generates the expansion set ψ(2<br />

t − l),<br />

which is an orthogonal<br />

basis. The wavelet ψ(<br />

t)<br />

is an oscillating and quickly decaying function, which has its energy sufficiently<br />

well localized in time and in frequency. Several different wavelet classes have already been proposed [5].<br />

Introducing another basic function ϕ(), t called the scaling function,<br />

a multiresolution signal representation,<br />

starting from some resolution k,<br />

can be formulated:<br />

Two fundamental self-similarity equations have to be fulfilled:<br />

k<br />

(27.6)<br />

(27.7a)<br />

(27.7b)<br />

where h0(<br />

n)<br />

and h1(<br />

n)<br />

are impulse responses of two discrete-time complementary filters—a lowpass filter<br />

and a highpass filter, respectively. For a finite even length N,<br />

responses h0(<br />

n)<br />

and h1(<br />

n)<br />

are related to each<br />

other by<br />

(27.8)<br />

If resolution k is large enough, κ = k can only be taken into account in expansion (27.6). In other words,<br />

we can assume that<br />

Thus, from Eqs. (27.7a) and (27.7b) we conclude that<br />

modeled as<br />

k<br />

∞<br />

∑<br />

∞<br />

∑<br />

∞<br />

∑<br />

x() t<br />

2 k/2 aklψ 2 k =<br />

( t– l)<br />

k=−∞ l=−∞<br />

x() t 2 k/2 bkl ϕ 2 k ( t– l)<br />

2 κ/2 aκlψ 2 k =<br />

+<br />

( t– l)<br />

l=−∞<br />

∑<br />

κ=k l=−∞<br />

(27.9)<br />

x(<br />

t)<br />

is a signal of resolution k + 1 and can be<br />

(27.10)<br />

Assuming that functions ϕ (2 t − l) and ψ (2 k t − l) in expansion (27.9) form an orthonormal basis,<br />

after some manipulations, we conclude that<br />

(27.11a)<br />

(27.11b)<br />

If the signal x(t) is of finite duration, the sums in expressions (27.9) and (27.10) are finite. The sets {b (k+1)n}<br />

and {b kl, a kl} form alternative parametric descriptions for the signal x(t). Although both sets have the same<br />

∞<br />

∞<br />

∑ ∑<br />

ϕ() t = 2h0( n)ϕ(<br />

2t– n)<br />

n<br />

∑<br />

ψ() t = 2h1( n)ϕ(<br />

2t– n)<br />

n<br />

h1( n)<br />

( – 1)<br />

n = h0( N – 1 – n),<br />

n = 0,…,N – 1<br />

∞<br />

∑<br />

x() t 2 k/2 bklϕ 2 k ( t– l)<br />

2 k/2 aklψ 2 k =<br />

+ ( t– l)<br />

l=−∞<br />

∞<br />

∑<br />

x() t 2 k+1<br />

=<br />

n=−∞<br />

∞<br />

∑<br />

l=−∞<br />

( )/2 b( k+1 )nϕ2 k+1 t– n<br />

∑<br />

bkl = h0( n – 2l)bk+1<br />

n<br />

∑<br />

( )<br />

( )n<br />

akl =<br />

h1( n – 2l)bk+1<br />

n<br />

( )n

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