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Description: 利用小波变换的EEG信号的多分辨率分析,利用小波变换的EEG信号的多分辨率分析-using wavelet transform EEG signal multiresolution analysis, The wavelet transform EEG signal multiresolution analysis
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Size: 807 |
Author: 翟改霞 |
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Description: 小波神经网络在脑电信号数据压缩与棘波识别中的应用-wavelet neural networks in EEG data compression with spikes Identification of
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Size: 246884 |
Author: 刘廷 |
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Description: 该程序是用小波函数构建神经网络的源程序。用以分析心电信号、脑电信号等等。-that the procedure was constructed using wavelet neural network function of the source. For the analysis of ECG, EEG, and so on.
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Size: 1451 |
Author: sandy4000 |
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Description: MED这一个数据处理的方法，这个比较好用的，尤其是在脑电处理比小波更好一点-MED This is a data processing method, this relatively easy to use, especially in the EEG handling a little better than the wavelet
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Size: 3245056 |
Author: ganju |
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Description: 关于脑电信号中机械噪声，工频噪声，以及基线漂移的处理，以及提取脑电信号中的特质点，应用matlab中的小波变换来进行消噪找特征点-On the EEG machine noise, frequency noise, and baseline drift of the processing, as well as the characteristics of EEG in point, application of wavelet transform in matlab to find feature points for Denoising
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Size: 18432 |
Author: lili |
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Description: 筛选的几篇脑电节律提取的文章，可以用于其它信号处理~
【基于改进小波变换的EEG分析】【基于小波变换的动态脑电节律提取】【脑电信号的特征节律信号提取】【a、β、δ、θ和40Hz波实时检测器】-Screening of several EEG extracted article, can be used for other signal processing ~ 【EEG based on improved wavelet analysis】 【based on wavelet transform extracts】 【dynamic EEG characteristics of EEG signal extraction】 【a rhythm , β, δ, θ, and real-time 40Hz wave detector】
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Size: 2240512 |
Author: STyuco |
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Description: 盲源分离算法的几篇文章应用
【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entropy and Blind Source Separation Method】 【based on wavelet denoising and blind source separation of signal singularity Detection】
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Size: 3671040 |
Author: Hekate |
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Description: How to find wavelet coefficient of EEG
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Size: 10240 |
Author: apis |
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Description: 小波包分析方法应用于脑电信号的处理是可行的、 有效的、 并初步表现出了优越的性能。-Wavelet packet analysis method is applied to EEG signal processing is feasible, effective, and initially showed a superior performance.
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Size: 3072 |
Author: |
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Description: 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.
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Size: 9216 |
Author: sunyang |
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Description: 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
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Size: 13312 |
Author: 刘银霞 |
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Description: 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
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Size: 1024 |
Author: 黄家良 |
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Description: 该程序主要用于脑电信号EEG的小波分析，进行5层小波分析重构系数-The program is mainly used in EEG signals of EEG wavelet analysis, 5 layer wavelet analysis reconstruction coefficient
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Size: 1024 |
Author: 陈晨 |
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Description: 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
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Size: 13312 |
Author: 马培培 |
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Description: 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
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Size: 198656 |
Author: 韩陵 |
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Description: 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
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Size: 247808 |
Author: 王春晖 |
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Description: 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
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Size: 354304 |
Author: 王春晖 |
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Description: 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
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Size: 1024 |
Author: 张生 |
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Description: 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
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Size: 1024 |
Author: 江晨阳 |
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Description: 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 personally run, can facilitate you to do EEG feature extraction, in the hope that everyone has to help
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Size: 24576 |
Author: 王冬 |
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