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 -