Blind source separation by fully nonnegative constrained iterative volume maximization Yang, Zuyuan, Ding, Shuxue and Xie, Shengli 2010, Blind source separation by fully nonnegative constrained iterative volume maximization, IEEE signal processing letters, vol. 17, no. 9, pp. 799-802, doi: 10.1109/LSP.2010.2055854. Attached Files Name Description MIMEType Size Downloads yang-blindsource-2010.pdf Published version application/pdf 975.54KB 348 Title Blind source separation by fully nonnegative constrained iterative volume maximization Author(s) Yang, Zuyuan Ding, Shuxue Xie, Shengli Journal name IEEE signal processing letters Volume number 17 Issue number 9 Start page 799 End page 802 Total pages 4 Publisher IEEE Xplore Place of publication Piscataway, New Jersey Publication date 2010 ISSN 1070-9908 1558-2361 Summary Blind source separation (BSS) has been widely discussed in many real applications. Recently, under the assumption that both of the sources and the mixing matrix are nonnegative, Wang develop an amazing BSS method by using volume maximization. However, the algorithm that they have proposed can guarantee the nonnegativities of the sources only, but cannot obtain a nonnegative mixing matrix necessarily. In this letter, by introducing additional constraints, a method for fully nonnegative constrained iterative volume maximization (FNCIVM) is proposed. The result is with more interpretation, while the algorithm is based on solving a single linear programming problem. Numerical experiments with synthetic signals and real-world images are performed, which show the effectiveness of the proposed method. Language eng DOI 10.1109/LSP.2010.2055854 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 ©2010, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30059305 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     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 Wed, 08 Jan 2014, 13:26:45 EST Tue, 14 Jan 2014, 12:49:14 EST Tue, 11 Feb 2014, 11:15:45 EST Tue, 11 Feb 2014, 11:16:24 EST Fri, 13 Jun 2014, 19:22:59 EST Tue, 12 Aug 2014, 12:44:58 EST Tue, 06 Sep 2016, 22:28:28 EST Tue, 05 Dec 2017, 12:46:12 EST Fri, 07 Sep 2018, 16:52:10 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 138 Abstract Views, 348 File Downloads  -  Detailed Statistics Created: Wed, 08 Jan 2014, 13:26:45 EST