New blind estimation method of evoked potentials based on minimum dispersion criterion and fractional lower order statistics

Abstract

Evoked potentials (EPs) have been widely used to quantify neurological system properties. Traditional EP analysis methods are developed under the condition that the background noises in EP are Gaussian distributed. Alpha stable distribution, a generalization of Gaussian, is better for modeling impulsive noises than Gaussian distribution in biomedical signal processing. Conventional blind separation and estimation method of evoked potentials is based on second order statistics or high order Statistics. Conventional blind separation and estimation method of evoked potentials is based on second order statistics (SOS). In this paper, we propose a new algorithm based on minimum dispersion criterion and fractional lower order statistics. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.

Construction of Split-Plot Designs with General Minimum Lower Order Confounding

“…A 2 n m − FF design is called an SOS design if its degree of freedoms is all used to estimate the main effects and 2fis, see Block et al [21] for more details on the SOS designs. In addition, the SOS design is also widely used in the field of biology, see [22]. Note that the ( ) ( )…”