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实现递推最小二乘，并给出辨识各次结果与收敛性(Recursive least squares implementation, and results are given recognition and convergence of various)

非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立： min Σ(F(x,xdatai)-ydatai)^2(Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment: min Σ (F (x, xdatai)-ydatai) ^ 2)

基于Matlab,进行ECG信号处理分析，包括相关技术说明文档(Word版)。 (Based on Matlab, the ECG signal processing and analysis, including related technical documentation (Word version).)

Boosting algorithm that can be used as classifier

这里面包含了几乎全部的SIMULINK在通信仿真中所要用到的命令(That which contains almost all of the SIMULINK simulation in communications to use in order)

说明：  对使用matlab编程的基础知识做了详尽的介绍。(Matlab on the use of basic knowledge of programming to do the detail.)

PSCAD下含光伏、风电的微网模型。很实用(And PSCAD under including photovoltaic, wind power, micro-network model)

Wigner-Ville 分布(简称 WVD)是典型的二次型变换，它定义为信号瞬时相关函数的傅立 叶变换。 由于在计算中不加窗操作，它避免了时域分辨率和频域分辨率之间的相互牵制。 已证明，对于单分量线性调频信号，WVD 的时频表示能量集中性最优。但也正因为不涉 及窗函数，在分析多分量信号时 WVD 会受到交叉项的干扰。(The Wigner-Ville distribution (WVD) is a typical quadratic transformation, which is defined as the Fourier of the instantaneous correlation function of a signal. Ye Bianhuan. Because of no window operation in the calculation, it avoids the mutual restraint between time domain resolution and frequency domain resolution. It has been proved that for the single component LFM signal, the WVD time frequency representation has the best energy concentration. But it is also because it does not involve. And window functions, when WVD is used to analyze multi-component signals, it will be interfered by cross terms.)

Estimates the articulation index, AI, based on the paper by French and Steinberg (1946).All inputs

introduction to image processing.