搜索资源列表
motorimage_Csp
- 脑电想象运动的csp特征提取分类算法 matlab平台，通过投票可以直接扩展到多类-Imagine the movement csp EEG feature extraction classification algorithm matlab platform, through the vote can be directly extended to multiple classes
eeg_toolbox_v2.3
- EEG toolbox : EEG toolbox for matlab for processing EEG signals.
p300
- 用小波变换多分辨对脑电慢波P300信号的特征提取-wavelet EEG P300 feature execute
eegwave
- 基于小波包分解的脑电信号特征提取.格式是caj后缀的，大家看的时候可能得有CAJViewer 这个软件-Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer
kurtoszm
- kurtoszm feature in time domain foe eeg
new_guerrero_embc2009
- EEG FEATURE EXTRACTION
Bayesian_Wavelet_Network
- EEG signal classification using wavelet feature extraction
whmt1d
- EEG signal classification using wavelet feature extraction
deltaforthnet131
- EEG signal classification using wavelet feature extraction
vks
- EEG signal classification using wavelet feature extraction
EEG-functions
- EEG处理过程中用到的一些程序，如预处理，特征提取等-EEG processing some of the procedures used, such as preprocessing, feature extraction
EEG-based-identification-method
- ：基于脑电信号的身份识别是通过采集试验者的脑部信号来进行身份认证。对于同一个外部刺激或者主体在思考同一个 事件的时候，不同人的大脑所产生的认知脑电信号不同。选取与运动意识想象有关的电极后，分析不同个体在特定状况下脑 电的个体差异，采用以回归系数、能量谱密度、相同步、线性复杂度多种信号处理结合方法对运动想象脑电信号进行处理来 进行特征提取。组合多元特征向量并运用多层BP 神经网络对不同个体的脑电信号进行分类，并在不同的意识想象及不同数 据长度、不同的波段对试验者进行识别率验证分析。
EEG-feature-extraction
- 脑电特征提取的的matlab算法EEG feature extraction-EEG feature extraction algorithm matlab EEG feature extraction
Wavelet_EntropyinformationLZC
- 脑电处理中，特征提取的几个有用算法程序，包括小波熵、LZC脑电复杂度、互信息等，以上程序，我已将亲自运行，可以通过，便于大家做脑电特征提取，希望对大家有帮助-EEG processing, feature extraction algorithm several useful programs, including wavelet entropy, LZC EEG complexity, mutual information, the above procedure, I have person
wxj_CSP
- 脑电特征提取的典型特征提取算法——共同空间模式方法，本人已亲自调试，并用于论文的写作，是一个提取脑电特征的利器-Eeg feature extraction of typical feature extraction algorithm, joint space model method, I have personally debugging, and used for thesis writing, is a feature extraction of eeg
EEG-hard-threshold--soft-threshold
- 脑电信号的硬阈值和软阈值去噪算法，是对脑电信号消噪的基本消噪能够成功取得脑电消噪的目的，为脑电信号的特征提取做好充分准备-EEG hard threshold and soft thresholding algorithm is the basic noise cancellation EEG de-noising can successfully achieve the purpose of de-noising EEG, EEG feature extraction is fully pre
DEAP04JFisherNaiveBayes
- J fisher discriminant for high/low classes. Naive Bayes classifier for EEG feature selection. - Both for evaluating high/low levels of Valence or Arousal.
EEG
- 脑电信号提取及特征分析 生物医学工程及信号处理专业可以-EEG feature extraction and analysis
eeg feature extraction
- 用于eeg信号预处理的matlab程序，可以用于特征提取。
EEG-Emotion-classification-master
- DEAP数据集下的情绪识别分类，包括特征提取和分类(Emotion recognition classification based on deap data set, including feature extraction and classification)