Blind separation of underdetermined mixtures with additive white and pink noises

Ossama S. Alshabrawy*, Aboul Ella Hassanien, W. A. Awad, A. A. Salama

*Corresponding author for this work

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

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Abstract

This paper presents an approach for underdeter-mined blind source separation in the case of additive Gaussian white noise and pink noise. Likewise, the proposed approach is applicable in the case of separating I + 3 sources from I mixtures with additive two kinds of noises. This situation is more challenging and suitable to practical real world problems. Moreover, unlike to some conventional approaches, the sparsity conditions are not imposed. Firstly, the mixing matrix is estimated based on an algorithm that combines short time Fourier transform and rough-fuzzy clustering. Then, the mixed signals are normalized and the source signals are recovered using modified Gradient descent Local Hierarchical Alternating Least Squares Algorithm exploiting the mixing matrix obtained from the previous step as an input and initialized by multiplicative algorithm for matrix factorization based on alpha divergence. The experiments and simulation results show that the proposed approach can separate I + 3 source signals from I mixed signals, and it has superior evaluation performance compared to some conventional approaches.

Original languageEnglish
Title of host publication13th International Conference on Hybrid Intelligent Systems, HIS 2013
EditorsAjith Abraham
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages305-311
Number of pages7
ISBN (Electronic)9781479924394
DOIs
Publication statusPublished - 10 Oct 2014
Externally publishedYes
Event13th International Conference on Hybrid Intelligent Systems, HIS 2013 - Gammarth, Tunisia
Duration: 4 Dec 20136 Dec 2013

Publication series

Name13th International Conference on Hybrid Intelligent Systems, HIS 2013

Conference

Conference13th International Conference on Hybrid Intelligent Systems, HIS 2013
CountryTunisia
CityGammarth
Period4/12/136/12/13

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