position-the-fault

图像霍特林变换源代码，可实现图像的kl变换(Hotelling transform image source code)

wallpaper MDI window

Queueing theory M/M/1 simulation by matlab information theory very useful Queueing theory M/M/1 simulation by matlab information theory very useful(Queueing theory M/M/1 simulation by matlab information theory very usefulQueueing theory M/M/1 simulation by matlab information theory very usefulQueueing theory M/M/1 simulation by matlab information theory very useful)

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)

对于6-sps并联机器人工作空间的搜索。(Search for working space of 6SPS parallel robot)

相控阵雷达数字去斜仿真，发射信号和回波信号，混频滤波信号，正交解调，滤波器设计 使用带通滤波器，二次时延；两个目标(Phased array radar to ramp digital simulation, the transmitted signal and the echo signal, mixing the filtered signal, quadrature demodulation, filter design use a band-pass filter, the second delay two goals)

基于拥挤距离的多目标粒子群优化算法，包含测试函数(Multi-objective particle swarm optimization algorithm based on crowded distance, including test functions)

说明：  对电网动态无功补偿的仿真能够实现对无功的实时补偿(Simulation of dynamic reactive power compensation to achieve real-time compensation of reactive)

filtering and restoration in frequency domain

分别利用 Lagrange插值法、分段线性插值法与三次样条法进行插值逼近(Respectively, by Lagrange interpolation, piecewise linear interpolation and cubic spline interpolation approximation method)