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Hardy-Sobolev Spaces Decomposition in Signal Analysis
Dang P.1; Qian T.1; You Z.2
2011
Source PublicationJournal of Fourier Analysis and Applications
ISSN10695869
Volume17Issue:1Pages:36
Abstract

Some fundamental formulas and relations in signal analysis are based on the amplitude-phase representations s(t)=A(t)eiφ(t) and ŝ(ω)=B(ω)eiψ(ω), where the amplitude functions A(t) and B(ω) and the phase functions φ(t) and ψ(ω) are assumed to be differentiable. They include the amplitude-phase representations of the first and second order means of the Fourier frequency and time, and the equivalence between two forms of the covariance. A proof of the uncertainty principle is also based on the amplitude-phase representations. In general, however, signals of finite energy do not necessarily have differentiable amplitude-phase representations. The study presented in this paper extends the classical formulas and relations to general signals of finite energy. Under the formulation of the phase and amplitude derivatives based on the Hardy-Sobolev spaces decomposition the extended formulas reveal new features, and contribute to the foundations of time-frequency analysis. The established theory is based on the equivalent classes of the L2 space but not on particular representations of the classes. We also give a proof of the uncertainty principle by using the amplitude-phase representations defined through the Hardy-Sobolev spaces decomposition.

KeywordAmplitude-phase Representation Of Signal Covariance Hardy Space Hardy-sobolev Space Hilbert Transform Mean Of Frequency Mean Of Time Phase Derivative Sobolev Space Uncertainty Principle
DOI10.1007/s00041-010-9132-7
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000286633700002
The Source to ArticleScopus
Scopus ID2-s2.0-79251597991
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorQian T.
Affiliation1.Department of Mathematics, University of Macau, Macao (Via Hong Kong), China (SAR)
2.Faculty of Information Technology, Macau University of Science and Technology, Macao (Via Hong Kong), China (SAR)
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Dang P.,Qian T.,You Z.. Hardy-Sobolev Spaces Decomposition in Signal Analysis[J]. Journal of Fourier Analysis and Applications, 2011, 17(1), 36.
APA Dang P.., Qian T.., & You Z. (2011). Hardy-Sobolev Spaces Decomposition in Signal Analysis. Journal of Fourier Analysis and Applications, 17(1), 36.
MLA Dang P.,et al."Hardy-Sobolev Spaces Decomposition in Signal Analysis".Journal of Fourier Analysis and Applications 17.1(2011):36.
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