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中文摘要：
EEG作为一种无损的新医学技术近几年已经被广泛地研究，EEG—MUSIC是一种基于EEG的脑源病灶空间定位算法，它只能在高斯噪声下工作。特殊情况下的脑电传感器阵列数据中可能伴有一种强脉冲噪声，这种噪声可以用“稳定分布描述。稳定分布噪声环境下，传统的EEG-RAP—MUSIC失效。为此用FLOM矩阵代替自相关矩阵，提出了一种适合稳定分布噪声环境的脑源定位新方法FLOM-EEG-RAP-MUSIC。计算机仿真表明，所提出的方法能较好地在稳定分布噪声环境下工作，具有一定的鲁棒性。
英文摘要：
EEG（Electroencephalography） which is a new medical technology has been generally researched recently, EEG-MUSIC （Multiple Signal Classification） is a spatial source localization method based on EEG, but it can only work in Gauss noises environment. Because noises are pulsing in EEG array processing data, they can be described by a stable distribution. The per- formance of EEG-RAP （Recursively Applied and Projected）-MUSIC degenerates in a stable distribution environment. A new source localization method which can work in a stable distribution environment is proposed because correlation matrix is re- placed by improved Fractional Low Order Moment（FLOM）matrix in the method. Simulations indicate that the method is robust.
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