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Download fileSequential blind source extraction for quasi-periodic signals with time-varying period
journal contribution
posted on 2009-11-24, 14:29 authored by Thato K. Tsalaile, Reza Sameni, Saeid Sanei, Christian Jutten, Jonathon ChambersA novel second-order-statistics-based sequential
blind extraction algorithm for blind extraction of quasi-periodic
signals, with time-varying period, is introduced in this paper.
Source extraction is performed by sequentially converging to a
solution that effectively diagonalizes autocorrelation matrices at
lags corresponding to the time-varying period, which thereby explicitly
exploits a key statistical nonstationary characteristic of the
desired source. The algorithm is shown to have fast convergence
and yields significant improvement in signal-to-interference ratio
as compared to when the algorithm assumes a fixed period. The
algorithm is further evaluated on the problem of separation of a
heart sound signal from real-world lung sound recordings. Separation
results confirm the utility of the introduced approach, and
listening tests are employed to further corroborate the results.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
TSALAILE, T. ... et al, 2009. Sequential blind source extraction for quasi-periodic signals with time-varying period. IEEE Transactions on Biomedical Engineering, 56 (3), pp. 646-655.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2009Notes
This article was published in the journal IEEE Transactions on Biomedical Engineering [© IEEE] and is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISSN
0018-9294Language
- en