Title
Sequential blind source extraction for quasi-periodic signals with time-varying period.
Abstract
A 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.
Year
DOI
Venue
2009
10.1109/TBME.2008.2002141
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
lung sound recordings,statistical nonstationarity,signal-to-interference ratio,second-order statistics,sequential blind source extraction,time-varying period,medical signal processing,blind source extraction (bse),lung,blind source separation,heart sound signal,quasi-periodic,echocardiography,quasiperiodic signals,covariance matrix,signal processing,computer simulation,normal distribution,computational complexity,algorithms,signal to interference ratio,autocorrelation,data mining,testing,heart
Convergence (routing),Signal-to-interference ratio,Audio signal,Signal processing,Computer science,Higher-order statistics,Electronic engineering,Blind signal separation,Source separation,Autocorrelation
Journal
Volume
Issue
ISSN
56
3
1558-2531
Citations 
PageRank 
References 
8
0.57
12
Authors
5
Name
Order
Citations
PageRank
Thato Tsalaile1131.12
Reza Sameni218517.88
Saeid Sanei314116.70
Christian Jutten445039.98
Jonathon Chambers586882.37