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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
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!
paper4
- Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
1Gauss
- EEG信号的一维Gauss连续小波变换。-the Gauss continuous wavelet transform for EEG signals.
dehghan
- Fuzzy support vector machine for classification of EEG signals using wavelet-based features
ok_noise_eeg
- remove noise eeg signal with wavelet adaptive-remove noise eeg signal with wavelet adaptive
graz
- 采用graz大学BCIcompetiton3的数据，进行功率谱分析 小波分析 代码非常详尽 可供初学者学习Matlab处理脑电的方法-Using BCIcompetiton3 University Graz data, the power spectrum analysis of wavelet analysis code is very detailed for beginners to learn Matlab processing of EEG
tztq
- EEG采集脑电波matlab，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 acquisition of MATLAB brain waves, the frequency and the data and then use wavelet transform to analyze brain waves generated when the eyes open
小波分解+MSE熵+特征提取
- 通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco
小波
- 本程序使用小波变换对脑电进行分组重构，获得不同频率的脑电波形(This program uses wavelet transform to reconstruct the EEG, and obtain the EEG waveforms of different frequencies)
dtcwt_toolbox4_3
- 针对小波变换在信号处理中的不足，提出了 双树复小波变换的方法信号进行处理，特别是对心电和脑电信号的去躁处理，最后和小波变换比较。(In view of the deficiency of wavelet transform in signal processing, a dual tree complex wavelet transform method is proposed to deal with the signal, especially for the ECG and EEG sig
Wavelet_filtering
- 这是小波滤波器，用来给EEG信号滤波使用。(Wavelet filtering is a good filter for EEG signal.)
HHT小波变换
- 用于脑电信号的小波分解与重构算法，另外还有一个基于信噪比的空域滤波算法和HHT分解算法，都是几个常用的脑电信号分解算法(Wavelet decomposition and reconstruction algorithm for EEG signals, in addition, a spatial filtering algorithm based on signal to noise ratio (SNR) and HHT decomposition algorithm, are sever
025126298EEG_WAVELET
- 小波变换对脑电信号处理有用，采用db4小波对脑电信号7层分解(Wavelet is useful for EEG signal processing)