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正弦信号的谱分析，以及报告！仅供参考望大家给出宝贵意见！(Sinusoidal signal spectral analysis, and reporting! Reference only hope we are given valuable advice!)

极速学习机,可以做模型预测、评价，比BP神经网络更优。(Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.)

自己编写的源代码能实现简单的形态学操作，如腐蚀膨胀边界提取(I have written the source code to achieve a simple morphological operations, such as corrosion expansion boundary extraction)

利用matlab进行图形的二维傅里叶变换(Using matlab graphical two-dimensional Fourier transform)

用MATLB演奏《卡农》的程序源码设计，可用类似方法编写其他歌曲(" Canon" played with MATLB program source design, can be written in a similar way to other songs)

用Matlab仿真了对称阵子的方向图，阻抗特性和辐射阻抗(The stream of Matlab simulation with the direction of the symmetric map, impedance characteristics and radiation impedance)

无线通信同协作分集经典程序 (Cooperative diversity wireless communication with the classic procedure)

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.)

本书基于matlab6.5的图象处理工具v3.2编写，全面系统地介绍图象处理工具v3.2函数在图象处理个方面的实际应用。(This book-based image processing tools matlab6.5 prepared v3.2, a comprehensive and systematic introduction to image processing tools v3.2 image processing function in the practical application of aspects.)

评价算法。神经网络一个很好的应用。。。。。大家可以看看！(Evaluation algorithm. Neural network a very good application. . . . . Everyone can see!)