matlab-code(3rd-report)

MATLAB软件实现计算有限长序列的DFT和IDFT函数的程序，另有一个实例(MATLAB software calculation of finite-length sequence of DFT and IDFT function procedures, while an example of)

ALMOTIIIII FILE IN AWGN

取x轴Y轴某些点的坐标，用线连起来，包线图(Check point coordinates, even from the envelope )

Make sure that all structs defined in this file remain laid out so that they pack the same way on 32-bit and 64-bit architectures (to avoid incompatibility between 32-bit userspace and 64-bit kernels).

单目标粒子群优化算法（PSO），通过追随当前搜索到的最优值来寻找全局最优(Particle swarm optimization algorithm)

鱼群算法在多目标寻优问题上的应用，注释详细，代码初学者必备。(Fish swarm algorithm in multi-objective optimization problem, the application of detailed notes, code beginners.)

文件是 天线与电波传播 第3版 2017 的课件资源。 该书围绕天线与电波传播两大内容展开。全书共 14 章。前9章为天线部分，各章内容分别为：天线基础知识、简单线天线、行波天线、非频变天线、缝隙天线与微带天线、手机天线、测向天线、面天线、新型天线；后5章为电波传播部分，各章内容分别为：电波传播的基础知识、地面波传播、天波传播、视距传播、地面移动通信中接收场强的预测。(The document is the courseware resource of the third edition of antenna and radio wave propagation 2017. The book launches around two main contents: antenna and radio wave propagation. The book consists of 14 chapters. The first nine chapters are the antenna section, which includes the basic knowledge of antenna, simple wire antenna, traveling wave antenna, non-frequency-varying antenna, slot antenna and microstrip antenna, mobile phone antenna, direction finding antenna, surface antenna and new type antenna, and the last five chapters are the radio wave propagation section, which includes the basic knowledge of radio wave propagation, the ground. Wave propagation, sky wave propagation, line of sight propagation, and prediction of received field strength in ground mobile communication.)

用来显示3D图片的一个matlab程序,包括灰度范围(a matlab code to display 3d voxel)

LBP算法实现图像的纹理分类,很简单，很经典(LBP_algorithm_picture_tuxture_classify)

利用matlab将输入的rgb图像转化为灰度图像后，利用阈值求的二值图像，边缘算子求的边缘图像，边缘图像求归一化不变矩，Hu矩。(Matlab input rgb image to grayscale image, using the binary image threshold seeking child seeking the edge of the image, the edge operator, the edge of the image seeking normalized invariant moments, Hu moments.)