搜索资源列表
wavelet_EEG
- Decomposition EEG to its 5 Sub-bands using Wavelet
EEGMATLAB
- 一个用matlab小波分析自发EEG信号的程序-A wavelet analysis using matlab process of spontaneous 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
work
- 有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征-Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation
glpbiyan
- 脑电波分析程序，由EEG仪器采集脑电波，然后用小波变换来分析采集的脑电波信号-Brain wave analysis program, collected by the EEG brain wave instrument, and then use wavelet transform to analyze the EEG signal acquisition
eegxiaobo
- 小波分析在脑电信号分析中的应用，希望对大家有帮助-Wavelet analysis in EEG analysis, in the hope that we have to help
Wavenetrecogniton
- 小波神经网络用于分类的基础源码，供参考！-Wavelet neural network for classification of basic source for information!
EP_den
- Denoise EEG data using wavelet methods
EEGprocessing
- 脑电信号是脑神经细胞电生理活动在大脑皮层或头皮表面的总体反映 ,脑电信号的研究 一直是生物医学领域难度很大且倍受人们关注的课题。在简要回顾了脑电研究的历史和现状的基础上 ,重点论述了混沌分析法、人工神经网络(ANN)分析法、小波变换法、Wigner 分布等在脑电信号分析和处理中的应用情况。最后展望了脑电信号研究的发展应用前景。-EEG is a brain cell electrophysiological activity in the cerebral cortex or the sca
brain_singal
- 作者使用matlab程序开发了脑电图信号接口程序，并利用小波分解对脑电信号节律提取。-By using the matlab program development of EEG signal interface program, and the use of wavelet decomposition of the EEG rhythm extraction.
tztqzheng1
- EEG采集脑电波，然后用小波变换分析睁眼时产生脑电波的频率及各项数据-EEG brain waves collected and then analyzed using wavelet transform eyes when the frequency of brain waves generated and the data
Wavelet_Denoise
- 小波去噪的几篇论文 Automatic identification and Removal of ocular artifacts from EEG using Wavelet transform 小波去噪理论及MATLAB实现研究 小波分析在信号降噪处理中的应用 小波软阈值滤波在信号去噪中的有效性研究-Wavelet denoising of several papers Automatic identification and Removal of ocular artif
Entropy
- 熵算法在脑电处理用的应用的几篇文章 基于排列组合熵的脑电信号睡眠分期研究 基于小波变换与近似熵的睡眠分期研究 睡眠脑电的关联维数和样本熵分析 等-EEG entropy algorithm in the application used for treatment of several articles based on permutation entropy of EEG sleep stages and the approximate entropy based on wavel
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
wavelet
- 小波变换用于脑电信号处理，可以很好的对脑电信号进行时频分析-Wavelet transform for EEG signal processing, can be very good for time-frequency analysis of EEG
Eeg-signals
- 从脑电信号的分析出发,论述了频域分析、时域分析等脑电图分析中常用的信号分析方法和特点,特别介绍了Wigner分布、小波变换和匹配跟踪等时频分析方法、人工神经网络和非线性动力学方法在脑电信号分析和处理中的应用情况。 -From the analysis of eeg, discusses the frequency domain and time domain analysis analysis in the analysis of the commonly used eeg signal a