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Dimensionalreductionforparticlefiltersofsystemswit
- We present a particle filter construction for a system that exhibits time-scale separation. The separation of time-scales allows two simplifications that we exploit: i) The use of the averaging principle for the dimensional reduction of the sys
smooth
- 多点数据滑动平滑：h0 为输入，m点个数，h1输出，n=几点平滑，time 平滑次数 多点滑动取平均-Multi-point data smoothing sliding: h0 for the input, m point of numbers, h1 output, n = points smooth, time smoothing the number of multi-point sliding averaging
ClassE
- 基于状态空间平均法的E类放大器模型，能放真出时域波形并给出了迭代模型-Class E amplifier model based on state-space averaging method, you can really put a time-domain waveform and the iteration model
eeglab13_5_4b
- eeglab提供了一个交互式的图形用户界面（GUI）允许用户灵活、交互过程的高密度脑电图或其他动态脑数据利用独立成分分析（ICA）和/或时间/频率分析（TFA），以及标准的平均方法。eeglab还集成了泛的教程和明窗，加上一个命令历史记录功能，简化了用户从基于GUI的数据探索建立和运行批处理或自定义数据分析脚本(EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and in
tsa
- 时域同步平均算法，用于处理振动信号，抑制噪声(Time domain synchronous averaging algorithm is used to deal with vibration signals and suppress noise.)