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Ch1899
- 小波变换在语音和生物医学信号处理中的应用 431 17.1 小波变换在语音信号处理中的应用 431 17.1.1 小波变换在语音增强中的应用 431 17.1.2 小波变换在语音压缩中的应用 433 17.2 小波变换在生物医学信号处理中的应用 435 17.2.1 基于小波变换的ECG信号压缩 435 17.2.2 基于小波变换的EEG信号多分辨率分析 437-wavelet transform voice, and biomedical signal process
EMD
- 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
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
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
waveletEEG
- EEG signals processing using Wavelet function
feature-extraction
- EEG feature extraction using wavelet transform
Wavelet-Based-Analysis-of-EEG-Signal-for-Evaluati
- Matlab related EEG analysis based on : Wavelet Based Analysis of EEG Signal for Evaluating Mental Behavior
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
removal-artifacts--EEG-
- 通过小波分析和独立分量分析来去除脑电信号中的运动伪迹,有很好的参考价值。-Wavelet analysis and independent component analysis to remove EEG motion artifact, a good reference value.(Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and
wavelet-coherence-master12
- 关于脑电信号处理,的一个类似于eeglab的应用包,可在matlab上直接使用-About EEG signal processing, a similar eeglab application package, can be used directly on the MATLAB