负荷预测的应用研究

克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后　进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)

基于小波的图像去噪，用MATLAB实现，(Image denoising based on wavelet)

说明：  基于鱼眼效果的产生图像，里面是比较简单的原理代码，方格图成像(Fish eye effect on the production images, which is a relatively simple principle of the code, grid map imaging)

This a code in matlab. Calculus the magic square of a size especific. This code is make with algoritms genetics.

Symbol Timing Tracking Using Early-Late Techniques by matlab(Symbol Timing Tracking Using Early-Late T echniques by Matlab)

稳健自适应的波束形成算法，最基本的MVDR算法(Robust adaptive beamforming algorithm, the basic MVDR algorithm)

cc方法是实现相空间重构时用来计算重构维数和时间延迟的方法，我在这里只是试一试(ccmethod medisine and time delay we implement the program，the word is too leate to upload,so i have to add something to it.i can not do well in english.,)

说明：  主要是介绍卡尔曼滤波器的原理，并形象地说明了实现过程，最后用matlab实现了这一原理。(Mainly to introduce the principle of Kalman filter, and vividly illustrates the realization of the process, and finally use matlab to achieve this principle.)

曲线拟合系统，输入阶数进行拟合计算和插值计算(Curve fitting system to fit the input order of calculation and interpolation)

我们提出了一种列和约束生成算法来解决两阶段鲁棒优化问题。 与现有的Benders式切割平面方法相比，柱式和约束生成算法是一种通用的程序，采用统一的方法来处理最优性和可行性。 对两阶段稳健位置传输问题的计算研究表明，它的执行速度提高了一个数量级。(we present a column-and-constraint generation algorithm to solve two-stage robust optimization problems. Compared with existing Benders-style cutting plane methods, the column-and constraint generation algorithm is a general procedure with a unified approach . A computational study on a two-stage robust location-transportation problem shows that it performs an order of magnitude faster.)