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hi this about simulation of ecg signals

matlab 功能强大，叫你如何学会编程，你的很快很好。你会熄火(failed to translate)

基于MATLAB神经网络工具箱的BP网络实现，该本书对初学神经网络的读者应该比较有用。(Based on the MATLAB neural network toolbox of the BP network, the book for beginner readers neural network should be more useful.)

模拟真空中Gauss光束的三维场分布，方便加深高斯光束性质的理解(Simulate the three-dimensional field distribution of Gauss beam in vacuum and facilitate better understanding of the nature of Gaussian beam.)

互信息法求时间延迟，用于混沌方程的分析，采用matlab编写(mutual information for the time delay for the chaos equation analysis, prepared using Matlab)

Power System Stabilizer model PSS2A

分形Hurst指数在彩虹期权定价中的应用(fractal hurst)

相关函数,计算功率谱，互功率谱，相关性和相位(coherence function,Computing power spectrum, cross spectrum, coherence and phase)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

MM1 que implementation in matlab