Residential College | false |
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 Publication | IEEE Transactions on Signal Processing |
ISSN | 1053-587X |
Volume | 70Pages: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. |
Keyword | Time-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 |
DOI | 10.1109/TSP.2022.3143723 |
URL | View the original |
Indexed By | SCIE |
WOS Research Area | Engineering |
WOS Subject | Engineering, Electrical & Electronic |
WOS ID | WOS:000761216600004 |
Scopus ID | 2-s2.0-85123357879 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Wan F(萬峰) |
Affiliation | 1.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 Affilication | University of Macau |
Corresponding Author Affilication | University 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. |
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