Chapter7

说明：  写C 语言编码格式明显易懂，调试时不容易出错。(The coding format of C language is obvious and easy to understand, and it is not easy to make mistakes when debugging.)

gabor提取纹理特征，k-means方法无监督聚类进行图像分割(extract texture feature, cluster by k-means)

说明：  百分百高仿小说下载站源码，减轻大家仿站的难度(100% high imitation novel download site source code, reduce the difficulty of everyone imitation station)

说明：  机器学习及其matlab实现一书第十八章的代码，有详细的注释，供初学者借鉴，比较好学习强化学习资料。(Machine learning and matlab implementation Chapter 18 of the code, there are detailed notes for beginners to learn from, better reinforcement learning materials.)

空调温度自动控制（lcd显示+上下限可设置）采用80C51+1602+AD590+ADC0809(Automatic temperature control air-conditioning (lcd display+ Upper and lower limits can be set) using 80C51+ 1602+ AD590+ ADC0809)

说明：  高斯羽烟模型python代码，模拟中质气体的连续泄漏扩散，瞬时源的是高斯烟团模型(Gaussion plume model in Python.)

用matlab求伪Wigner-Ville分布(Using the pseudo Wigner-Ville distribution with MATLAB)

说明：  算法笔记书籍上每一章节每一小节出现的算法题目的源代码。(The source code of the algorithm Title appearing in each chapter and section of the algorithmic notebook.)

说明：  本书采用案例形式，以智能算法为主线，讲解了遗传算法.免疫算法,退火算法.粒子群算法，鱼群算法,蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现，本书共给出30个案例,每个案例都是一个使用智能算法解决问题的具体实例,所有案例均由理论讲解、案例背景.MATLAB程序实现和扩展阅读四个部分组成,并配有完整的程序源码。(This book uses case form and takes intelligent algorithm as the main line to explain the matlab implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealing algorithm, particle swarm optimization algorithm, fish swarm algorithm, ant colony algorithm and neural network algorithm. There are 30 cases in this book, and each case is a specific example of using intelligent algorithm to solve problems, All cases are composed of theoretical explanation, case background, matlab program implementation and extended reading, and complete program source code.)

说明：  有趣的二进制 软件安全与逆向分析学习资料，希望能绑到有需要的人(Interesting binary software security and reverse analysis learning materials, hoping to be tied to people in need)