搜索资源列表
-
0下载：
Common spatial pattern 公共空间模式滤波是处理脑电信号的一种方法，它可以使两类想象运动EEG的协方差之间的差距最大化，便于后期的分类处理。-Common spatial pattern model of public space filtering is a method of EEG signal processing, it can make two types of movement EEG covariance imagine the gap between the
-
-
3下载：
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
-
-
0下载：
Matlab source for blind classification of EEG data (BCI competition II data set IV)
-
-
0下载：
基于多通道脑电特征运动意识任务的分类，-Characteristics of movement based on multi-channel EEG classification of mental tasks,
-
-
0下载：
this matlab program is for EEG signal classification
-
-
0下载：
EEG signal classification by SVM
-
-
0下载：
pca分类程序，主要用于脑电信号的分类。具有较好的分类精度！-pca classification procedures, mainly for the classification of EEG signals. Has better classification accuracy!
-
-
0下载：
EEG signal classification using wavelet feature extraction
-
-
0下载：
EEG signal classification using wavelet feature extraction
-
-
4下载：
基于mu节律能量的140组脑电信号的决策分类，从3s到9s之间不同决策时间点的识别率，最高为85 -140 mu rhythm-based energy group decision-making EEG classification, from 3s to 9s different decision points in time between the recognition rate up to 85
-
-
0下载：
EEG classification using neural networks1
-
-
0下载：
EEG classification using neural networks2
-
-
0下载：
EEG classification using high accuracy TEA
-
-
0下载：
主分量分析，用于对脑电信号的判别分析，也可用于其他的二分类分析。-the classifier of principle component analysis,using for EEG and binary classification
-
-
0下载：
eeg program for classification
-
-
1下载：
使用BP神经网络算法对脑电信号进行分类识别。-BP neural network algorithm using EEG classification.
-
-
0下载：
eeg classification (a simple gui to add eeg signal, create , learn the system and test it)
-
-
0下载：
toolbox code to classify alzahimer dieses.
-
-
7下载：
脑电eeg数据预处理，用于脑电信号的MATLAB处理程序，输入处理数据，进行matlab运算，PCA处理及SVM分类。(PCA Processing and SVM Classification of EEG Data)
-
-
7下载：
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)
-
