MATLABCodesforDimensionalityReduction

基于EEMD的全质心UWB室内定位算法结合了EMD算法的改进版(UWB indoor location algorithm based on EEMD)

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)

Flocking Controls for Swarms of Mobile Robots Inspired by Fish Schools

Cubic Spline weight function

说明：  在离散余弦变换下实现信号的稀疏分解，matlab环境下可以简单实现(realize sparse Decomposition with dct)

说明：  一个简单的图像的kl变换matlab程序,这里需要自己找图像，不如经典的lina图像(a simple image kl transform Matlab procedures here need to find your own image, as the classic images Lina)

Object Oriented Programming In ANSI C

海量工业数据处理使用，包括了稳态测试，剔除坏值，计算标准差和平均值等(Massive use of industrial data processing, including the steady-state test, remove bad values, calculate the standard deviation and mean, etc.)

利用卫星观测文件和导航文件进行单点定位，德国导航文件官网提供，程序很精炼(Using satellite observation files and navigation files for single point positioning)

关于系统辨识和自适应分析的ppt教学分析，通俗易懂。(Ppt teaching analysis on system identification and adaptive analysis, easy to understand.)