Dual wavelet

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In mathematics, a dual wavelet is the dual to a wavelet. In general, the wavelet series generated by a square-integrable function will have a dual series, in the sense of the Riesz representation theorem. However, the dual series is not itself in general representable by a square-integrable function.

Definition

Given a square-integrable function ψL2(), define the series {ψjk} by

ψjk(x)=2j/2ψ(2jxk)

for integers j,k. Such a function is called an R-function if the linear span of {ψjk} is dense in L2(), and if there exist positive constants A, B with 0<AB< such that

Acjkl22jk=cjkψjkL22Bcjkl22

for all bi-infinite square summable series {cjk}. Here, l2 denotes the square-sum norm:

cjkl22=jk=|cjk|2

and L2 denotes the usual norm on L2():

fL22=|f(x)|2dx

By the Riesz representation theorem, there exists a unique dual basis ψjk such that

ψjk|ψlm=δjlδkm

where δjk is the Kronecker delta and f|g is the usual inner product on L2(). Indeed, there exists a unique series representation for a square-integrable function f expressed in this basis:

f(x)=jkψjk|fψjk(x)

If there exists a function ψ~L2() such that

ψ~jk=ψjk

then ψ~ is called the dual wavelet or the wavelet dual to ψ. In general, for some given R-function ψ, the dual will not exist. In the special case of ψ=ψ~, the wavelet is said to be an orthogonal wavelet. An example of an R-function without a dual is easy to construct. Let ϕ be an orthogonal wavelet. Then define ψ(x)=ϕ(x)+zϕ(2x) for some complex number z. It is straightforward to show that this ψ does not have a wavelet dual.

See also

References

  • Charles K. Chui, An Introduction to Wavelets (Wavelet Analysis & Its Applications), (1992), Academic Press, San Diego, ISBN 0-12-174584-8