Name
Abstract | ||
|---|---|---|
A new method for blind source extraction of cyclostationary sources is presented. It is assumed that the cycle frequencies of the sources are known a priori and some of the sources have common cycle frequencies. Necessary and sufficient conditions are introduced and Jacobi method for diagonalization of complex matrices is used to find the estimations. The proposed algorithm is applied to simulated data, and effectiveness and performance of the algorithm are verified. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495718 | 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING |
Keywords | Field | DocType |
Blind source extraction, cyclostationarity, second order statistics | Digital signal processing,Computer science,A priori and a posteriori,Artificial intelligence,Blind signal separation,Pattern recognition,Jacobi method,Signal-to-noise ratio,Blind source extraction,Algorithm,Speech recognition,Covariance matrix,Cyclostationary process | Conference |
ISSN | Citations | PageRank |
1520-6149 | 4 | 0.44 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Foad Ghaderi | 1 | 56 | 7.64 |
| Bahador Makkiabadi | 2 | 53 | 8.92 |
| John G. McWhirter | 3 | 214 | 28.77 |
| Saeid Sanei | 4 | 530 | 72.63 |