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把当前图形窗中已存在的任何字对象拖放到所需的位置；向当前图形窗输入字对象，并拖放到任何所需位置。 (align current graphics window which has been in existence for the drag and drop any object to the word for the position; current graphics to the window object input characters, and drag-and-drop to any required position.)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 (Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction)

数据资料是数学模型与实际问题接轨的重要途径和手段，有时还可以直接从数据资料中发现规 律组建模型。数据分析和处理是统计学研究的主要内容，也是计算数学的工作领域，近年来随 着计算机科学的发展，对“海量”数据的分析形成了一门新的交叉学科“数据挖掘”。这一章仅 介绍用统计学的最小二乘法构造拟合数据模型，以及用计算数学的函数插值方法处理数据解决 实际问题。(Is a mathematical model of data integration an important practical problem with the ways and means, and sometimes directly from the data can also be found in the law of the formation model. Statistical data analysis and processing is the main research, but also work areas of computational mathematics, computer science in recent years, along with the development of the " mass" analysis of the data formed a new cross-disciplinary " data mining." This chapter describes only the structure with a statistical method of least squares fit data models, and computational mathematics and data processing function interpolation methods to solve practical problems.)

灰色预测 GM（1,1）在数据量较少的情况下进行的灰色预测 (Grey GM (1,1) in the case of small amount of data for the Grey)

含NWP数值天气预报和不含NWP数值天气预报的BP神经网络预测风电功率两种方法进行比较，含数据，实际案例。(With and without NWP NWP Numerical Weather Prediction NWP BP neural network prediction of wind power are two methods were compared with the data, the actual case.)

有源电力滤波器是用于动态抑制谐波、补偿无功的新型电力电子装置，控制并主动输出电流的大小、频率和相位，并且快速响应，抵消负载中相应电流，实现了动态跟踪补偿，而且可以既补谐波又补无功和不平衡。(APF:Active power filter)

说明：  用于非平稳、线性信号的信号分离，可用于公董轴承故障研究。经测试降噪能力优越(It can be used for the signal separation of non-stationary and linear signals, and can be used for the fault research of common bearing. Superior noise reduction capability after test)

this program is a clustering algorithm for large data base

power_turbine,matlab仿真文件,电力电子、功率电子控制方面很有价值，调试通过(aspects of power_turbine, matlab simulation files, power electronics, power electronics control valuable debugging through)