期刊
JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS
卷 10, 期 3, 页码 221-246出版社
SPRINGER BIRKHAUSER
DOI: 10.1007/s00041-004-0946-z
关键词
Besov spaces; multifractal analysis; oscillation spaces; wavelets
We determine which information can be extracted from the distributions of the wavelet coefficients of a function f at each scale, but does not depend on the particular wavelet basis which is chosen. This information can be naturally expressed in terms of one increasing function v(f) (alpha), and the knowledge of this function yields strictly more information than the knowledge of the Besov spaces that contain f. Examples of use of this additional information will be taken from image processing and multifractal analysis.
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