wavelet set
Definition
An (orthonormal dyadic) wavelet set on ℝ is a subset E⊂ℝ such that
-
1.
χE∈L2(ℝ) (since ∥χE∥=√m(E), this implies m(E)<∞).
-
2.
χE√m(E) is the Fourier transform of an orthonormal dyadic wavelet,
where χE is the characteristic function of E, and m(E) is the Lebesgue measure
of E.
Characterization
E⊂ℝ is a wavelet set iff
-
1.
{E+2πn}n∈ℤ is a measurable partition of ℝ; i.e. ℝ\⋃n∈ℤ{E+2πn} has measure zero
, and ⋂n=i,j{E+2πn} has measure zero if i≠j. In short, E is a 2π-translation “tiler” of ℝ
-
2.
{2nE}n∈ℤ is a 2-dilation “tiler” of ℝ (once again modulo sets of measure zero).
Notes
There are higher dimensional analogues to wavelet sets in ℝ, corresponding to wavelets in higher dimensions. Wavelet sets can be used to derive wavelets— by creating a set E satisfying the conditions given above, and using the inverse Fourier transform on χE, you are guaranteed to recover a wavelet. A particularly interesting open question is: do all wavelets contain wavelet sets in their frequency support?
Title | wavelet set |
---|---|
Canonical name | WaveletSet |
Date of creation | 2013-03-22 14:27:10 |
Last modified on | 2013-03-22 14:27:10 |
Owner | swiftset (1337) |
Last modified by | swiftset (1337) |
Numerical id | 7 |
Author | swiftset (1337) |
Entry type | Definition |
Classification | msc 46C99 |
Classification | msc 65T60 |
Related topic | wavelet |
Related topic | Wavelet |