Output details
11 - Computer Science and Informatics
Glyndŵr University
Article title
Blind source separation based on high-resolution time–frequency distributions
Type
D - Journal article
Title of journal
Computers & Electrical Engineering
Article number
-
Volume number
38
Issue number
1
First page of article
175
ISSN of journal
00457906
Year of publication
2012
URL
-
Number of additional authors
2
Additional information
<01> Blind source separation (BSS) is an emerging technique of array processing. It recovers the sources from observed mixtures. For a non-stationary source, BSS based on time-frequency distribution is needed. In this paper, a new signal-independent kernel is proposed to achieve the high resolution of time-frequency distribution for BSS. This is the international research collaboration with Southwest University and Chongqing University, China and Dr She has been a guest professor at Southwest University. The research was funded by National Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities in China.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
