文件名称:Eeg-signals
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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 analysis method and characteristics, especially introduced the Wigner distribution, wavelet transform and matching trace the method of time-frequency analysis, artificial neural network and nonlinear dynamics method of eeg analysis and processing in the application.
-From the analysis of eeg, discusses the frequency domain and time domain analysis analysis in the analysis of the commonly used eeg signal analysis method and characteristics, especially introduced the Wigner distribution, wavelet transform and matching trace the method of time-frequency analysis, artificial neural network and nonlinear dynamics method of eeg analysis and processing in the application.
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Eeg signals.caj