Blind source separation using closed-form estimators with optimal finite sample performance

V. Zarzoso
2001 DERA/IEE Workshop Intelligent Sensor Processing   unpublished
We address the blind separation of two source signals from two real-valued instantaneous linear mixtures. Appropriate weighting of previous estimation expressions yields a family of closedform estimators of the separation parameter which are consistent under rather general conditions. The weight coefficient for the asymptotically (large-sample) most efficient estimator of the family, i.e., the estimator with optimal finite-sample performance, is obtained as a function of the source statistics.
more » ... source statistics. Experimental results demonstrate the benefits of the optimal weighted estimator. In Proc. DERA/IEE Workshop on Intelligent Sensor Processing, Birmingham, Feb. 14, 2001, No. 01/050, pp. 15/1-15/6.
doi:10.1049/ic:20010110 fatcat:pr6n7ep4jfgczhsdt2d6qnva6e