kmeans

说明：  用LS算法实现共512个数据的预测，并得到误差平方的仿真图(LS algorithm with a total of 512 data, forecasts, and get squared error of the simulation diagram)

说明：  FIR数字滤波器的设计，利用各种窗函数设计各种类型的数字滤波器。(FIR digital filter design, using a variety of window function design of various types of digital filters.)

this is simple qpsk for matlab code

Evaluation of Objective Quality Measures for Speech Enhancement

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)

matlab6.5图形图像处理源程序 是初学matlab的好帮手。。(matlab6.5 graphics image processing source code beginner matlab good helper. .)

PID控制极点配置的自适应控制的应用实例(PID control poles of adaptive control)

nsga2源码下载。。。。。。。。。。。。。。。。。。。。。(nsga2 code)

基于LMS自适应时延估计算法，可以对时间延迟进行估计(Adaptive time delay estimation algorithm based on the LMS, you can estimate the time delay)

说明：  事件触发控制的仿真，遗传算法简介，多智能体协同等问题(The simulation of event triggered control, the introduction of genetic algorithm and the related discussion of multi-agent cooperation.)