You are not logged in.
Openly accessible

On blind separability based on the temporal predictability method

Xie, Shengli, Zhou, Guoxu, Yang, Zuyuan and Fu, Yuli 2009, On blind separability based on the temporal predictability method, Neural Computation, vol. 21, no. 12, pp. 3519-3531, doi: 10.1162/neco.2009.10-08-890.

Attached Files
Name Description MIMEType Size Downloads
yang-onblindseparability-2009.pdf Published version application/pdf 347.09KB 38

Title On blind separability based on the temporal predictability method
Author(s) Xie, Shengli
Zhou, Guoxu
Yang, Zuyuan
Fu, Yuli
Journal name Neural Computation
Volume number 21
Issue number 12
Start page 3519
End page 3531
Total pages 14
Publisher MIT Press Journals
Place of publication Cambridge, MA
Publication date 2009
ISSN 0899-7667
Keyword(s) Temporal predictability method
Blind separability
Summary This letter discusses blind separability based on temporal predictability (Stone, 2001; Xie, He, & Fu, 2005). Our results show that the sources are separable using the temporal predictability method if and only if they have different temporal structures (i.e., autocorrelations). Consequently, the applicability and limitations of the temporal predictability method are clarified. In addition, instead of using generalized eigendecomposition, we suggest using joint approximate diagonalization algorithms to improve the robustness of the method. A new criterion is presented to evaluate the separation results. Numerical simulations are performed to demonstrate the validity of the theoretical results.
Language eng
DOI 10.1162/neco.2009.10-08-890
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2009, MIT Press Journals
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30059309

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 58 Abstract Views, 38 File Downloads  -  Detailed Statistics
Created: Wed, 08 Jan 2014, 13:27:31 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.