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BLIND SOURCE SEPARATION AND SPARSE BUMP MODELLING OF TIME FREQUENCY REPRESENTATION OF EEG SIGNALS: NEW TOOLS FOR EARLY DETECTION OF ALZHEIMER’S DISEASE

机译：脑电信号时间频率表示的盲源分离和稀疏波动模型：早期检测阿尔茨海默病的新工具

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作者
François Vialatte; Andrzej Cichocki; Gerard Dreyfus; Toshimitsu Musha; Tomasz M. Rutkowski; Rémi Gervais;
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年度 2008
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1. Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain based on sparse representation method [J] . Xiang Wang, Zhitao Huang, Yiyu Zhou Systems Engineering and Electronics, Journal of . 2014,第1期

机译：基于稀疏表示方法的时域不确定DOA估计和不相交源盲分离
2. Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain based on sparse representation method [J] . Xiang Wang, Zhitao Huang, Yiyu Zhou 系统工程与电子技术（英文版） . 2014,第001期

机译：基于稀疏表示方法的时频域内未脱节源的被限定的DOA估计和盲分离
3. EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease. [J] . Cichocki A, Shishkin SL, Musha T, Clinical neurophysiology . 2005,第3期

机译：基于盲源分离（BSS）的EEG过滤，可早期发现阿尔茨海默氏病。
4. Blind Source Separation and Sparse Bump Modelling of Time Frequency Representation of Eeg Signals: New Tools for Early Detection of Alzheimer’s Disease [C] . Vialatte, F., Cichocki, . 2005

机译：脑电信号时频表示的盲源分离和稀疏碰撞建模：阿尔茨海默氏病早期检测的新工具
5. Semi-Blind Source Separation via Sparse Representations and Online Dictionary Learning. [D] . Rambhatla, Sirisha. 2012

机译：通过稀疏表示和在线词典学习进行半盲源分离。
6. Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection [O] . Chaozhu Zhang, Yu Wang, Fulong Jing 2017

机译：基于单源点检测的同步正交跳频信号欠定盲源分离
7. Early Detection of Alzheimer’s Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals [O] . François Vialatte, Andrzej Cichocki, Gérard Dreyfus, 2008

机译：通过盲源分离，时频表示和脑电信号的凹凸建模早期发现阿尔茨海默病
8. Combining Time Frequency Representation and Parametric Analysis for the Enhancement of Transients in Sleep EEG Signal. [R] . Fortunato, E., Rix, H., Suisse, G., 2001

机译：结合时频表示和参数分析增强睡眠脑电信号的瞬态。

BLIND SOURCE SEPARATION AND SPARSE BUMP MODELLING OF TIME FREQUENCY REPRESENTATION OF EEG SIGNALS: NEW TOOLS FOR EARLY DETECTION OF ALZHEIMER’S DISEASE

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