matlab

Expectation Maximization

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)

说明：  多载波调制，信道优化后的dmt程序，图像显示调整结果(Multi-carrier modulation, channel optimized dmt procedures, image display adjustment)

MAP CODE DouBinTurboEncode

粒子群算法的matlab实现，由主函数swarm和6个辅助函数：fitness（适应度函数）、congstrict(约束函数)、getNeighborIndex、getNeighborIndexVector、getNeighborIndexWithBestFitness、randint组成。其中fitness由使用者自行编写。(SO algorithm matlab realize, from the main function of swarm and six auxiliary functions: fitness (fitness function Number), congstrict (constraint function), getNeighborIndex, getNeighborIndexVector, getNeighborIndexWithBestFitness, randint composition. Compiled by the user which fitnessTo write.)

一个matlab的跟踪小例子，功能很简单，容易理解(A small example of the tracking matlab for beginners to use, very simple)

RBF for Approximation in matlab with GUI

在相干通信中精确恢复眼图，使用正弦函数作为例子，经过欠采样后，对数据进行FFT变换后在进行精同步(After the restoration of coherent communications precise eye, using a sine function as an example, after subsampling, FFT transform data during fine synchronization)

自校正控制MATALAB源码,包括系统辨识，最小方差控制等内容( Matlab source code of STC)

QPSK调制后产生QPSK信号，QPSK信号分别通过AWGN信道、Rayleigh衰减信道和Rician衰减信道，分别通过QPSK解调出数字信号，通过输入与输出数字信号的对比计算出仿真过程中的传输误比率，并将其与各衰减信道的理论误比率进行对比(Generate QPSK signal QPSK modulation, QPSK signals through AWGN channel, Rayleigh fading channel and Rician fading channel, respectively, through the QPSK demodulation of digital signals by comparing input and output digital signals to calculate the simulation process of transmission error rate, and to compare with the theoretical error rate for each decay channel)