FiniteElement

BRAIN TUMOR RECONSTRUCTION TECHNIQUE

Matlab的图像处理小软件，注意修改路径，以及图片。(Matlab image processing small software, pay attention to modify the path, and pictures.)

用MATLAB在M文件里编写连续谱密度函数(matlab)

实例分析如何用GRADS实现NetCDF格式转换(Examples of how to achieve NetCDF format GRADS)

利用夹角余弦距离进行样本数据分类。实现步骤主要分为以下两部分：a、待测样品X与训练集里每个样品Xi的距离采用夹角余弦距离公式计算。b、循环计算待测样品和训练集中各已知样品之间的距离，找出距离待测样品最近的已知样品，该已知样品的类别就是待测样品的类别。(Using the sample data classification Angle cosine distance.Implementation steps are divided into the following two parts: a, sample under test with each of the samples in the training set X Xi distance using the included Angle cosine distance formula.B, loop calculation under test samples and the distance between the known samples training focus, find out the known closest to the sample under test samples, the samples of known category is the category of the sample under test.)

空间谱估计均匀线阵music算法matlab程序(ULA program music algorithm matlab)

实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。(The actual scene, if the maximum lift capacity m = 10, the elevator has been designed to obey the guests uniformly distributed between 0-10, and the elevator in any one at any level under the same probability, if you The third layer needs to take the elevator to the seventh floor, the elevator in the first layer, a total of 8 layers. And in each level to reach their goals such as the elevator floor guests subject to the uniform distribution of 0-3 at this time we add some restrictions on the operation of the elevator, the elevator if it has not reached the destination guests, the lift will not change the direction, request until you reach the seventh floor so far, the elevator number of mathematical expectation to be stopped, and the computer simulation.)

bayesian classifier for 2 class

说明：  PAM误码率M文件，非常非常的好用，特别特别好用(PAM M file error rate is very very easy to use, in particular, especially useful)

设计程序，完成基于最小风险的贝叶斯分类器，画出相应的后验概率的分布曲线和分类结果。(Design process, complete the minimum risk-based Bayesian classifier, drawn profiles and classification results corresponding posterior probability.)