normalise

几个BOC 信号的分析例程，全球卫星导航系统将普遍采用BOC调制信号作为扩频测距信号，BOC信号自相关函数呈现多个相关峰，传统扩频接收机所用的延迟锁定环（DLL）无法对该信号正确地进行码相位的(Several BOC signal analysis routines, the global satellite navigation system will be widely used BOC modulation signal as a spread spectrum ranging signal, BOC signal auto-correlation function shows a number of correlation peak, the traditional spread-spectrum receiver using delay locked loop (DLL) the signal can not be correctly code phase)

在MATLAB中，实现模糊控制的算法程序M文件。(In MATLAB to achieve fuzzy control algorithm procedure)

PLS的修改算法，可以用于线性静态过程的故障诊断(partial least squares for fault diagnosis of static process)

finding cohesion metric for the given pgm

此程序可以用来计算平均风压系数和脉动风压系数，只是要对照自己的情况稍作修改即可。(This program can be used to calculate the mean wind pressure coefficient and fluctuating wind pressure coefficient, just want to control their own situation can be slight modifications.)

POWER FLOW ZERROUMDA

cap nonlinear compensation using 2nd order volterra

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)

这是一套地质统计学软件，能够从实际数据中得到变差函数，克里金插值等，用于地质统计学反演等(This is a geostatistical software to get the actual data the variogram, kriging interpolation for geostatistical inversion)

此函数中主要给出了如何实现MRI体数据的可视化，详细的给出了如何实现的步骤；(This function is mainly given how MRI volume data visualization, gives a detailed steps on how to achieve )