Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization

Ossama S. Alshabrawy*, M. E. Ghoneim, W. A. Awad, Aboul Ella Hassanien

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)
5 Downloads (Pure)

Abstract

Conventional blind source separation is based on over-determined with more sensors than sources but the underdetermined is a challenging case and more convenient to actual situation. Non-negative Matrix Factorization (NMF) has been widely applied to Blind Source Separation (BSS) problems. However, the separation results are sensitive to the initialization of parameters of NMF. Avoiding the subjectivity of choosing parameters, we used the Fuzzy C-Means (FCM) clustering technique to estimate the mixing matrix and to reduce the requirement for sparsity. Also, decreasing the constraints is regarded in this paper by using Semi-NMF. In this paper we propose a new two-step algorithm in order to solve the underdetermined blind source separation. We show how to combine the FCM clustering technique with the gradient-based NMF with the multi-layer technique. The simulation results show that our proposed algorithm can separate the source signals with high signal-to-noise ratio and quite low cost time compared with some algorithms.

Original languageEnglish
Title of host publication2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages695-700
Number of pages6
ISBN (Print)9781467307086
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012 - Wroclaw, Poland
Duration: 9 Sep 201212 Sep 2012

Publication series

Name2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012

Conference

Conference2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012
CountryPoland
CityWroclaw
Period9/09/1212/09/12

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