task2

是一个小游戏，一大堆麻将牌堆在一起，然后按一定的规则，找到两个一样的(a game on Majiang)

pca_new程序是一个用于降维的程序。用于降低数据的维数，更好精简冗余信息。(pca_new.m is used for data dimention reduction.)

使用LLC拓扑的软开关谐振变换器的SIMULINK仿真模型和相关参数计算(SIMULINK simulation model and related parameters of soft switching resonant converter using the LLC topology. )

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)

We must handle non-linear skbs.

mod double band porteuse

说明：  可以与carsim联合仿真模拟车辆轨迹跟踪(It can be used with CarSim to simulate vehicle trajectory tracking)

UWB，超宽带信号分析必用的子函数，第三部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part III!)

形态学操作，图像的膨胀和腐蚀操作，使用matlab进行实现。(Morphological operations, image dilation and erosion operations, using matlab to achieve.)

分支定界法能够用在处理整数规划问题中，是一种很经典的方法。希望大家有用！(Branch and bound method)