plot_MIMO

matpower作电力系统潮流分析,故障计算，市场交易、运行调度等(power ananlysis)

等参单元，用于弹性力学分析，数值积分法等(Isoparametric element，For elastic mechanics analysis, numerical integration method, etc.)

cvx, matlab程序包，主要基于凸优化理论的优化程序包(cvx convex optimization)

滤波器高斯噪声信道模型,信道模型的一种，matlab仿真源码(Filtered Gaussian Noise Model matlab code)

用matlab实现的一个快速傅里叶变换的函数。可以实现正变换和反变换 (it is a function developed under the matlab which can accompish the fast fourier transtorm in forward and inverse)

System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

基于支持向量机(SVM)的住房需求模型预测的MATLAB代码。(Based on support vector machine (SVM) model to predict the housing needs of the MATLAB code.)

A model expliciting the ventricular cardiac action potential. Depolarization,reporalization and their interaction

matlab时频分析及其技术这本书的所有源程序代码，适合学习，是很好的资料哦！(matlab time-frequency analysis and its technical book all the source code for learning is very good information Oh!)