Description: We derive an asymptotic Newton algorithm for Quasi-Maximum
Likelihood estimation of the ICA mixture model, using the ordinary
gradient and Hessian. The probabilistic mixture framework yields an
algorithm that can accommodate non-stationary environments and
arbitrary source densities. We prove asymptotic stability when the
sources models mixture match the true sources. An example application
to EEG segmentation is given Platform: |
Size: 494592 |
Author:msreddy |
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Description: 脑电信号多通道自动提取分割程序，可以将例如32通道中的某几路通道提取出来并进行进一步的分割，分割时间可修改，附带 一组脑电信号资源-Automatic extraction of multi-channel EEG segmentation process can be for example 32 channels in certain channels extracted and further split, split time can be modified with a group of EEG Resource Platform: |
Size: 19673088 |
Author:yanli |
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Description: 多导联脑电数据的滤波与分段，要参考实验标签进行分段，滤波参数可修改-Multi-lead EEG filtering and segmentation data, to refer to the experimental label segment, the filter parameters can be modified Platform: |
Size: 1024 |
Author:zyc |
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Description: 脑电图像分割源代码,利用K聚类算法，实现对脑电图像的分割融合。-Electroencephalography (eeg) as segmentation source code, using the K clustering algorithm, implementation of electroencephalogram (eeg) as segmentation. Platform: |
Size: 1024 |
Author:刘艳仙 |
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Search - eeg segmentation