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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
eegsleep
- project on EEG processing using Matlab. Initial stage
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
- eeg signal processing
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
dependentcomponent
- 本文简要地回顾了ICA的发展历史和主要算法，综述了它在脑电信号处理中的应用及研究进展，并指出了需要进一步研究解决的问题。-This article briefly reviews the history of the development of the ICA algorithm EEG signal processing applications and research progress, and pointed out the need for further research to s
EEG-Complexity-as-a-Measure-of-Depth-of-anesthesi
- algorithm for signal processing
juleifenxidenaodianfenxi
- 基于聚类分析的脑电信号数据处理，详细讲了脑电的基础知识然后讲了具体的脑电采集，然后是分类-EEG data processing based on cluster analysis, saying more about the basics of the EEG and then talk about specific EEG acquisition and classification
waveletEEG
- EEG signals processing using Wavelet function
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
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
EPILAB_v1
- 基于Matlab的脑电信号处理的开源GUI，功能强大，可以同时生产30余种脑电特征。(EEG signal processing GUI based on Matlab, whiuch can produce more than 30 kinds of EEG features.)