An.Introduction.To.Programming.And.N.ethods.In

LDPC码校验矩阵声称函数，可以根据度分布生成相应的校验矩阵，适用于码长很长的LDPC.(LDPC check matrix function claims that can be generated in accordance with the corresponding distribution check matrix, for a very long code length LDPC.)

牛顿法,用于优化求解，在图像优化求解,在点散射目标的仿真 (newton)

说明：  类的自定义 一些使用例子 很方便的教程实例 非常有用(Custom class that use a convenient example of an instance of a very useful tutorial)

matpower4.1相关文件，用于实现matpower仿真(matpower4.1 relevant documents, to achieve matpower simulation)

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)

利用matlab模拟了2DTE在自由空间中的传播。(2DTE wave propagation in free space)

THIS DOCUMENT CONTAINS A MATLAB TUTORIAL WICH CONTAINS MANY FUNCTION

各种LMS算法 包括变步长和归一化等，程序代码 参考！(bianbuchang LMS)

DOA估计,可以实现基本的定位功能，方法较为简单，使用Matlab程序实现其算法(DOA estimation, you can achieve the basic positioning function, the method is relatively simple, the use of Matlab program to achieve its algorithm)

实现时域自适应滤波中基于QR分解的递推最小二乘算法(Realize time-domain adaptive filter based on QR decomposition recursive least squares algorithm)