TouchTone

欧姆龙ASCII转换 特别适合初学者学习(Omron ASCII conversion suitable for beginners to learn)

this is the code to calculate magical hilbert transform of a signal.

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.)

蓄电池容量检测模型，本人毕业论文成果，matlab6.5(Battery capacity test model, I thesis results, matlab6.5)

MATLAB 基础教程，老师根据经验总结编写，十分实用(MATLAB TEACHING )

MATLAB经典仿真实用教程，包括很多实际源代码，可供仿真者试用(MATLAB simulation of the classic practical tutorials, including a lot of real source code for the simulation were tested)

国外计算机科学经典教材 Matlab Guide to Finite Elements 《Matlab有限元分析与应用》。使用于酷爱有限元与Matlab的相关人员。(Computer Science classics teaching abroad Matlab Guide to Finite Elements Matlab finite element analysis and application. Very fond of the finite element used in the relevant personnel with Matlab.)

用MATLAB实现PSO算法，程序没错误，可以直接运行(Implementation of PSO algorithm with MATLAB, the program no error, can be directly run )

cocos 2d sample using simple tile operations.

杂波模型为重尾噪声，滤波器为kalman-levy滤波器，此滤波器在噪声不是高斯噪声时效果优于卡尔曼滤波器(Clutter model for heavy-tailed noise filter for the the the kalman-levy filter, this filter is better than the Kalman filter noise is not Gaussian noise)