SAR雷达图像点目标仿真(RD算法和CS算法)

说明：  PowerBuilder2018破解补丁，使用本补丁可免费使用PowerBuilder2018，补丁仅供测试研究使用，请下载后24小时内删除。(PowerBuilder 2018 cracks patches. PowerBuilder 2018 is free to use with this patch. The patches are only for testing and research. Please delete them within 24 hours after downloading.)

弹性图片相册分页切换展示是一款js制作的照片墙图片弹性分页切换特效(Flexible Photo Album Pagination Switching Display is a js-made photo wall picture flexible pagination switching special effect)

数字波束形成，针对QAM瑞利通道加白高斯噪声的仿真(Digital Beamforming for QAM Rayleigh Channel with White Gauss Noise)

VC++实现菜单功能,适合初学者学习使用-VC++ Realize menu function, suitable for beginners learning to use

用于DIY Jlink OB 072 , 适用于 STM32F072C8T6 或者 STM32F072CBT6(DIY Jlink OB 072, mcu is STM32F072C8T6 or STM32F072CBT6)

Matlab系列。特征值计算各类算法分析(Matlab series. Eigenvalue calculation analysis of the various algorithms)

SVPWM的主要思想是以三相对称正弦波电压供电时三相对称电动机定子理想磁链圆为参考标准，以三相逆变器不同开关模式作适当的切换，从而形成PWM波，以所形成的实际磁链矢量来追踪其准确磁链圆。传统的SPWM方法从电源的角度出发，以生成一个可调频调压的正弦波电源，而SVPWM方法将逆变系统和异步电机看作一个整体来考虑，模型比较简单，也便于微处理器的实时控制。(The main idea of SVPWM is that the ideal magnetic chain circle of the three-phase symmetrical motor is used as the reference standard when the three-phase symmetric sine wave voltage is supplied, and the PWM wave is formed by the proper switching of the three phase inverters in different switching modes, and the accurate magnetic chain circle is traced with the actual flux vector formed. The traditional SPWM method starts from the angle of the power supply to generate a frequency modulation voltage regulating sinusoidal power supply. While the SVPWM method considers the inverter system and asynchronous motor as a whole, the model is simple and convenient for the real-time control of the microprocessor.)

钢筋混凝土框架结构设计计算源程序，用vb开发。-reinforced concrete frame structure design source files, using Visual Basic development.

Duffing方程是描述共振现象、调和振动、次调和振动、拟周期振动、概周期振动、奇异吸引子和混沌现象(或随机过程)的简单数学模型。因此，在非线性振动理论中研究，Duffing方程具有重要的意义。(duffing equation slove procedure)

机器学习的中文版本，作者Tom M. Mitchell。这本教材的目标是展现机器学习中核心的算法和理论。机器学习从很多学科吸收了成果和概念，包括统计学、人工智能、哲学、信息论、生物学、认知科学、计算复杂性和控制论等。-Machine learning of the Chinese version, the author Tom M. Mitchell. The teaching objective is to demonstrate the core of machine learning algorithms and theory. Machine learning from many disciplines to absorb the results and concepts, including statistics, artificial intelligence, philosophy, information theory, biology, cognitive science, computational complexity and control theory.