UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Adaptive Fourier Decomposition for Multi-Channel Signal Analysis
Wang Ze1,2,3; Wong Chi Man1,2,3; Agostinho Rosa4; Qian Tao5; Wan F(萬峰)1,2,3
2022
Source PublicationIEEE Transactions on Signal Processing
ISSN1053-587X
Volume70Pages:903-918
Abstract

Evolved from the conventional Fourier decomposition based on a pre-defined basis, Adaptive Fourier decomposition (AFD) uses adaptive basis to achieve the fast energy convergence. This paper extends the AFD to the multi-channel case, which finds common adaptive basis across all channels. The proposed multi-channel AFD (MAFD) scheme includes the multi-channel core AFD for general signals and the multi-channel unwinding AFD for specific signals that have common inner functions. Owing to the merits of the original AFD, the MAFD can provide sparse joint time-frequency distribution by computing the transient time frequency distribution (TTFD) across channels. Simulations on synthetic and real-world signals demonstrate that the proposed scheme can find and apply the common adaptive basis with desired properties maintained by the AFD, showing high potentials in real-world applications.

KeywordTime-frequency Analysis Oscillators Convergence Wavelet Transforms Adaptation Models Frequency Modulation Chirp Amplitude And Frequency Modulated Signal Adaptive Fourier Decomposition Multi-channel Signal Time-frequency Analysis
DOI10.1109/TSP.2022.3143723
URLView the original
Indexed BySCIE
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000761216600004
Scopus ID2-s2.0-85123357879
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorWan F(萬峰)
Affiliation1.Univ Macau, Fac Sci & Technol, Dept Elect & Comp Engn, Taipa 999078, Macao, Peoples R China
2.Univ Macau, Ctr Cognit & Brain Sci, Taipa, Macao, Peoples R China
3.Univ Macau, Ctr Artificial Intelligence & Robot, Inst Collaborat Innovat, Taipa, Macao, Peoples R China
4.Univ Lisbon, LaSEEB Syst & Robot Inst, Inst Super Tecn, Dept Bioengn, P-1049001 Lisbon, Portugal
5.Macau Univ Sci & Technol, Macao Ctr Math Sci, Taipa, Macao, Peoples R China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wang Ze,Wong Chi Man,Agostinho Rosa,et al. Adaptive Fourier Decomposition for Multi-Channel Signal Analysis[J]. IEEE Transactions on Signal Processing, 2022, 70, 903-918.
APA Wang Ze., Wong Chi Man., Agostinho Rosa., Qian Tao., & Wan F (2022). Adaptive Fourier Decomposition for Multi-Channel Signal Analysis. IEEE Transactions on Signal Processing, 70, 903-918.
MLA Wang Ze,et al."Adaptive Fourier Decomposition for Multi-Channel Signal Analysis".IEEE Transactions on Signal Processing 70(2022):903-918.
Files in This Item: Download All
File Name/Size Publications Version Access License
Adaptive_Fourier_Dec(5508KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang Ze]'s Articles
[Wong Chi Man]'s Articles
[Agostinho Rosa]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang Ze]'s Articles
[Wong Chi Man]'s Articles
[Agostinho Rosa]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang Ze]'s Articles
[Wong Chi Man]'s Articles
[Agostinho Rosa]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Adaptive_Fourier_Decomposition_for_Multi-Channel_Signal_Analysis.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.