Residential Collegefalse
Status已發表Published
An implementation approach for ideal time-frequency distribution
Zhang L.; Qian T.
2014
Conference Name2014 19th IEEE International Conference on Digital Signal Processing
Volume2014-January
Pages114-118
Conference Date20-23 Aug. 2014
Conference PlaceHongKong
Abstract

The ideal time-frequency distribution (TFD) has long been pursued in signal processing area. It, until the present time, cannot be implemented, due to the fact that there has been no appropriate signal decomposition approach leading to such TFD. This paper proposes an implementation approach for ideal TFD first time in the literature, which is based on the newly proposed signal decomposition approach - Adaptive Fourier Decomposition. The principles of the implementation approach is described in detail. This paper also summarizes the general requirements for ideal TFD. The proposed approach satisfies all those requirements. An experiment is conducted and result is promising.

KeywordAdaptive Fourier Decomposition Ideal Time-frequency Distribution Wigner-ville Distribution
DOI10.1109/ICDSP.2014.6900811
URLView the original
Language英語English
WOS IDWOS:000361019500021
Scopus ID2-s2.0-84940742063
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhang L.
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhang L.,Qian T.. An implementation approach for ideal time-frequency distribution[C], 2014, 114-118.
APA Zhang L.., & Qian T. (2014). An implementation approach for ideal time-frequency distribution. , 2014-January, 114-118.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang L.]'s Articles
[Qian T.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang L.]'s Articles
[Qian T.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang L.]'s Articles
[Qian T.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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