Abstract
Traditional evoked potentials (EPs) analysis is developed under the condition that the background noises in EP are Gaussian distributed. Alpha stable distribution is better for modeling impulsive noises than Gaussian distribution. Conventional blind estimation method of EPs is based on second order statistics (SOS) and MMSE criterion. We propose a new algorithm based on minimum dispersion criterion. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.
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Zha, D., Qiu, T., Li, X. (2005). Blind Estimation of Evoked Potentials Based on Fractional Lower Order Statistics. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_118
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DOI: https://doi.org/10.1007/11427469_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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