PIDFuzzydemo_ACmotor

Digital image processing, edge detection

实现svpwm逆变电路的方针输出，程序调试好用，波形理想(Policy to achieve svpwm inverter circuit output debugging easy, the ideal waveform)

绝对好的！用matlab实现的车牌识别程序，包含字符提取和字符切割模块的程序和字符模板(Absolutely good! License plate recognition using matlab implementation procedures, including character extraction and character segmentation module of the program and character templates)

A mtlab code to process LEACH protocol

《有限单元法及应用》最新2012版。公式推导详尽，matlab符号运算及算法简单易懂，理论介绍与软件应用连接紧密，适合作为非力学专业高年级本科生及研究生教材使用，也可作为有限元应用领域内工程技术人员的参考书。(The latest 2012 edition of the finite element method and its application " . The formula derivation detailed, the Matlab symbolic computation algorithm is simple and easy to understand, the theory describes the software application connections are tight, suitable as a non-mechanical professional senior undergraduate and graduate textbook, and may also be used as a reference book of engineering and technical personnel in the field of finite element applications.)

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)

This file includes demodulation example that who is using and studying the matlab simulink. I hope this zip file would be helpful for them.

基于压缩感知的自适应干扰抑制算法.PDF(Adaptive interferenc emitigation algorithm based on compressed sensing)

说明：  gaosi 信道的m文件,通信中必须要的仿真文件(m channel gaosi documents, communication must be of the simulation file)

四杆机器人仿真 (Animate_Four_Bar_Polodes )