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ICA2000_reprint.doc
- 具有带通选择性的ICA算法可以改善对于带通时间序列的分离以及对于周期性脑功能响应信号的提取. 因此本文提出的方案可将被估计信号, 如:周期性响应信号以及具有平滑空间分布的脑功能激活区, 的先验特性以特征选择的方式加入ICA算法用以提高对此类信号的估计-with selective ICA algorithm can be improved for the band pass time series, as well as for the separation of brain function
YLiGRC04
- 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show t
fetalecg
- 针对目前很多人做胎心电分离是缺少合适的心电数据，本人上传了一个很适合的从孕妇胸部和腹部通过电极采集到的心电信号。-At present, many people do for the fetal heart electrical separation is the lack of appropriate ECG data, I upload a very suitable from the chest and abdomen of pregnant women collected through
BSS
- 盲源分离算法的几篇文章应用 【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entr
DNA11111111111111
- 粘贴DNA模型的多级分离技术及其应用 论文 DNA计算-Paste the DNA model of multi-stage separation technology and its applications