搜索资源列表
wavelet_EEG
- 一个将小波变换应用到脑电的实用程序，对初学者很有帮助。-A wavelet transform applied to the EEG utility helpful for beginners.
xiaobo
- 癫痫脑电数据的小波分解，对数据进行离散小波变换-Epileptic EEG data decomposition, discrete wavelet transform on the data
myfirst4
- 对EEG的原始数据进行小波分解和重构以及做ar模型功率谱估计-EEG raw data wavelet decomposition and reconstruction, ar model power spectrum estimation
EEG_WAVELET
- 用小波方法把脑电信号进行频段分解，并画出图形-Using wavelet method to decompose the eeg signals into frequency bands, and draw the graph
Epileptic-Seizure-Detection
- 利用小波变换和样本熵对癫痫脑电进行识别的文章-Recognition article epileptic EEG using wavelet transform and sample entropy
xiaobo-svm
- 关于脑机接口的文献，基于SVM和小波分析的脑电信号分类方法-Literature on brain-computer interface the EEG classification method based on SVM and Wavelet Analysis
fuxiaobo
- 脑机接口文献 复小波在脑电同步性研究中的应用 有用-Of complex wavelet of brain-computer interface literature in EEG synchronization study
hht
- 小波与希尔伯特-黄变换结合分析脑电信号，先进行频域分解，再进行hht分析-wavelet and hht transform, analyze eeg
matlab-egg
- 运用小波变换的方法对脑电数据进行处理，进行脑电信号分解和信号重置-Wavelet transform EEG data processing, EEG decomposition and signal reset
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
waveletEEG
- EEG signals processing using Wavelet function
feature-extraction
- EEG feature extraction using wavelet transform
xiaobofenxiquzao
- 小波分析在脑电信号中的应用及其用matlab仿真实现-The application of wavelet analysis in eeg signals and the matlab simulation
xiaoboboxingchonggou
- 在脑电信号的分析中，用matlab实现小波的波形重构-In the eeg analysis, matlab wavelet waveform reconstruction
EEGMATLAB
- 脑电信号的读取以及用小波分析算法对其进行分解和重构-Eeg reading and using wavelet analysis algorithm for decomposition and reconstruction
xiaobofenxinaodian
- 利用小波变换将带有机械噪声等噪声的脑电信号进行小波处理，先分解信号，然后根据分解后的信号进行去噪处理，然后重构脑电信号-Using wavelet transform with EEG machinery noise noise wavelet processing to decompose signals and then de-noising based on signal decomposition, and then reconstructed EEG
wave1
- 小波变换的特征提取，用于情感识别方法，基于脑电信号-Wavelet feature extraction method for emotion recognition based on EEG
ECR_R
- 利用小波变换提取脑电中的R波~识别率可达百分之九十五以上~并附带脑电数据！-EEG using wavelet transform to extract the R wave ~ recognition rate of more than 95 percent- and comes with EEG data!
conference
- Semi-Automatic Epilepsy Spike Detection EEG Signal Using Genetic Algorithm and Wavelet Transform -Semi-Automatic Epilepsy Spike Detection EEG Signal Using Genetic Algorithm and Wavelet Transform
paper4
- Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients