TY - GEN
T1 - Blind extraction of noncircular complex signals using a widely linear predictor
AU - Javidi, Soroush
AU - Jelfs, Beth
AU - Mandic, Danilo P.
PY - 2009
Y1 - 2009
N2 - Real valued blind source extraction based on a linear predictor is extended to the complex domain using recent advances in complex domain statistics. It is shown that, in general, the mean square prediction error of the algorithm depends both on the covariance matrix and the pseudo-covar-iance matrix of the source signals. To fully utilise the available information, it is thus natural to adopt a widely linear predictor to extract the latent sources from the observed mixture. This way, we derive a new algorithm for the extraction of general complex signals and provide simulation results using benchmark complex data.
AB - Real valued blind source extraction based on a linear predictor is extended to the complex domain using recent advances in complex domain statistics. It is shown that, in general, the mean square prediction error of the algorithm depends both on the covariance matrix and the pseudo-covar-iance matrix of the source signals. To fully utilise the available information, it is thus natural to adopt a widely linear predictor to extract the latent sources from the observed mixture. This way, we derive a new algorithm for the extraction of general complex signals and provide simulation results using benchmark complex data.
UR - http://www.scopus.com/inward/record.url?scp=72349087183&partnerID=8YFLogxK
U2 - 10.1109/SSP.2009.5278530
DO - 10.1109/SSP.2009.5278530
M3 - Conference contribution
AN - SCOPUS:72349087183
SN - 9781424427109
T3 - IEEE Workshop on Statistical Signal Processing Proceedings
SP - 501
EP - 504
BT - 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
T2 - 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
Y2 - 31 August 2009 through 3 September 2009
ER -