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Adaptive Fourier Decomposition Based Time-Frequency Analysis
Li-Ming Zhang
2013-08-29
Source PublicationJOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY
ISSN1674-862X
Volume12Issue:2Pages:201-205
Abstract

The attempt to represent a signal simultaneously in time and frequency domains is full of challenges. The recently proposed adaptive Fourier decomposition (AFD) offers a practical approach to solve this problem. This paper presents the principles of the AFD based time-frequency analysis in three aspects: instantaneous frequency analysis, frequency spectrum analysis, and the spectrogram analysis. An experiment is conducted and compared with the Fourier transform in convergence rate and short-time Fourier transform in time-frequency distribution. The proposed approach performs better than both the Fourier transform and short-time Fourier transform.

KeywordAdaptive Fourier Decomposition Fourier Transform Instantaneous Frequency Time Frequency Analysis
DOIhttp://dx.doi.org/10.3969/j.issn.1674-862X.2014.02.012
Language英语
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Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorLi-Ming Zhang
AffiliationFaculty of Science and Technology, University of Macau, Macau, China.
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Li-Ming Zhang. Adaptive Fourier Decomposition Based Time-Frequency Analysis[J]. JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY,2013,12(2):201-205.
APA Li-Ming Zhang.(2013).Adaptive Fourier Decomposition Based Time-Frequency Analysis.JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY,12(2),201-205.
MLA Li-Ming Zhang."Adaptive Fourier Decomposition Based Time-Frequency Analysis".JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY 12.2(2013):201-205.
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