MATLAB实现OFDM时域波形、频谱仿真

牛顿拉夫迭代算法，有兴趣的可以看看，相信会有用吧(Love Newton iterative algorithm, interested can see, I believe it will be used)

Basic tutorial for image

说明：  模拟湍流大气，功率谱反演加次谐波补偿方法。(Atmospheric phase screen)

说明：  随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法 本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)

使用MATLAB来进行空间金字塔程序，使得图片提取的特征增加空间信息从而有低层次信息到高层次特征信息的过度，从而为之后的提升识别率的重要关键性一步

说明：  用Matlab编写的用Powell方法求函数极小点程序(Written with the Matlab function using Powell method for solving minimum point procedure)

Algorithm Flowchart for ZF-QR and ZF_SQRD receiver. The algorithms can be implemented using MATLAB.

运用形态学进行图像特征提取，非常好用，以偶用过，大家可以拿来自己学习一下，如有错误，望大家给改正啊。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

用MATLAB编写的光子晶体光纤中模场的分布是准二维的(Prepared to use MATLAB in photonic crystal fiber mode field distribution is quasi-two-dimensional)

Research in motion analysis has evolved over the years as a challenging field. Moving object detection and tracking is of major interest in applications such as traffic monitoring, military, medicine and biological sciences etc. In this a new algorithm is proposed for the detection and tracking of moving objects. The image sequence is taken from the digital camera. After preprocessing, the first two frames from the image sequence are segmented by using 8 component connectivity.