SINS_resolve

说明：  《Matlab从入门到精通》所有的源程序。(《Matlab from entry to the master》 all of the source.)

卡尔曼滤波算法，通过实例介绍其功能，目的更好地了解此滤波算法(Kalman filter algorithm, introduced through examples of its functions, to better understand the purpose of this filtering algorithm)

matpower 工具箱,电力系统最优化工具箱，包括潮流计算和最优潮流等(matpower toolbox)

说明：  1/3倍频程的实现，先fft然后计算上下限频率。(The realization of 1 / 3 octave, FFT first and then calculate the upper and lower frequency.)

CDMA中多用户相关的一些仿真研究，有相关文档及MATLAB程序可供学习(CDMA Multi-user related to a number of simulation studies, with relevant documentation, and MATLAB programs for learning)

说明：  IOMETER软件使用说明，非常的的详细(IOMETER software instructions, very detailed)

利用ESPRIT方法求目标的角度,系统为均匀线阵，阵元间距为波长的一半(Estimate the DOA of the target)

动态聚类的k均值算法,采用matlab编程,内有多个子程序，和一个主程序(dynamic clustering algorithm k mean using matlab)

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)

MATLAB FUZZY BASIC OPERATIONS