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Stronger uncertainty principles for hypercomplex signals
Yang Y.1; Dang P.3; Qian T.2
2015
Source PublicationComplex Variables and Elliptic Equations
ISSN17476941 17476933
Volume60Issue:12Pages:1696-1711
Abstract

In this paper, for real para-vector-valued signals, we obtain stronger uncertainty principles in terms of covariance and absolute covariance based on Fourier transform in both directional and the spatial cases. We provide certain conditions that give rise to the equal relation between the two uncertainty principles. Examples are presented to verify the results.

KeywordCovariance Fourier Transform UncertaInty PrInciple In Higher Dimensions
DOI10.1080/17476933.2015.1041938
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematics
WOS SubjectMathematics
WOS IDWOS:000361469400006
Scopus ID2-s2.0-84942196102
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.School of Mathematics and Computational Science, Sun Yat-Sen University, Guangzhou, China
2.Faculty of Information Technology, Macau University of Science and Technology, Macao, China
3.Faculty of Science and Technology, Department of Mathematics, University of Macau, Macao
Recommended Citation
GB/T 7714
Yang Y.,Dang P.,Qian T.. Stronger uncertainty principles for hypercomplex signals[J]. Complex Variables and Elliptic Equations, 2015, 60(12), 1696-1711.
APA Yang Y.., Dang P.., & Qian T. (2015). Stronger uncertainty principles for hypercomplex signals. Complex Variables and Elliptic Equations, 60(12), 1696-1711.
MLA Yang Y.,et al."Stronger uncertainty principles for hypercomplex signals".Complex Variables and Elliptic Equations 60.12(2015):1696-1711.
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