main-manet

Code Matlap for Ns2.There is some code on ns2 by Matlap used to simulate

identification linear regression model single tank

该代码为遗传算法matlab代码，其中代码都附有详细说明(The code for the genetic algorithm matlab code, which is accompanied by a detailed description of the code)

文章主要介绍了利用MATCOM进行VC和MATLAB 混合编程的步骤与优点, 并将其用于SAR 图像处理与质量评估软件开发。该软件通过图形与菜单, 界面用户只需进行简 单的菜单操作就可以得到直观的处理和评估结果, 为开展SAR 图像处理、质量评估研究提供了一个有力的工具。(Article introduces the use of MATCOM for VC++ and MATLAB programming steps and advantages of mixed and used in SAR image processing and quality assessment of software development. The software graphics and menus, just a simple user interface, menu operations can be intuitive handling and evaluation of results, for carrying out SAR image processing, quality assessment study provides a powerful tool.)

基于柔度差算法实现结构的损伤识别，附算例的节点坐标和单元文件(Compliance difference algorithm for structural damage identification, with examples of the node coordinates and unit files)

matlab代码 SLM在OFDM系统中的应用，V=4的情况下(matlab code SLM in OFDM)

采用串接法产生互补码，子码长度为64，可以调节。(Produce complementary code)

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)

使用相位相关法对视频中的两帧图象进行预测编码，画出运动场并求出峰值信噪比(Using the method of relevant video phase two frames image coding, predicting playground and peak value signal-to-noise ratio)

说明：  用matlab实现了FM调制解调过程，能很好地用图形来显示调制解调过程。(Achieved using matlab FM modulation and demodulation process, can well use the graphics to display modem process.)