Blind source separation of periodic sources from sequentially recorded instantaneous mixtures

Jafari, M. G., Hedayioglu, Fabio, Coimbra, M., Plumbley, M. D. (2011) Blind source separation of periodic sources from sequentially recorded instantaneous mixtures. 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA), . (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:98953)

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Official URL: https://ieeexplore.ieee.org/document/6046665

Abstract

We consider the separation of sources when only one movable sensor is available to record a set of mixtures at distinct locations. A single mixture signal is acquired, which is firstly segmented. Then, based on the assumption that the underlying sources are temporally periodic, we align the resulting signals and form a measurement vector on which source separation can be performed. We demonstrate that this approach can successfully recover the original sources both when working with simulated data, and for a real problem of heart sound separation.

Item Type:	Article
Institutional Unit:	Schools > School of Natural Sciences > Biosciences
Former Institutional Unit:	Divisions > Division of Natural Sciences > Biosciences
Funders:	European Union (https://ror.org/019w4f821)
Depositing User:	Fabio De Lima Hedayioglu
Date Deposited:	07 Dec 2022 15:32 UTC
Last Modified:	22 Jul 2025 09:13 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/98953 (The current URI for this page, for reference purposes)

University of Kent Author Information

Hedayioglu, Fabio.

Creator's ORCID:	https://orcid.org/0000-0003-0609-0054
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