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资源描述 主控芯片为51，功能强大，整个文件包，包括原理图。

说明：  There is a new PULL SDK version that is necessary to connect with all controllers produced from middle of 2016. This new SDK is also compatible with previous controllers.

对滚动轴承声发射信号进行处理，运用基于正交小波基连续小波变换，寻找最优尺度参数(you can know the functions that finds the best scale in the CWT coefficients or the way how you can do this.)

用于2维的射线追踪，也可以用于地震资料的层析成像(For 2-dimensional ray tracing, seismic data can also be used for the tomographic imaging)

说明：  混沌吸引子的matlab实现代码，包括 Logistic映射 - ChaosAttractorsMain_Logistic.m Henon映射 - ChaosAttractorsMain_Henon.m Lorenz吸引子 - ChaosAttractorsMain_Lorenz.m Duffing吸引子 - ChaosAttractorsMain_Duffing.m Duffing2吸引子 - ChaosAttractorsMain_Duffing2.m Rossler吸引子 - ChaosAttractorsMain_Rossler.m Chens吸引子 - ChaosAttractorsMain_Chens.m Ikeda吸引子 - ChaosAttractorsMain_Ikeda.m MackeyGLass序列 - ChaosAttractorsMain_MackeyGLass.m Quadratic序列 - ChaosAttractorsMain_Quadratic.m(Chaos attractor matlab implementation code. including: Logistic mapping - ChaosAttractorsMain_Logistic. M Henon mapping - ChaosAttractorsMain_Henon. M Lorenz attractor - ChaosAttractors main_lorenz.m Duffing attractor - ChaosAttractorsMain_Duffing. M Duffing2 attractor - ChaosAttractors main_duffing2.m Rossler attractor - ChaosAttractorsMain_Rossler Chens attractor - ChaosAttractors main_chens.m Ikeda attractor - ChaosAttractors main_ikeda.m MackeyGLass sequence - ChaosAttractors main_mackeyglass.m Quadratic sequence - ChaosAttractors Main_Quadratic. M)

用JPDA进行数据互联的多目标跟踪程序，仿真中用了2个目标，MATLAB编写。(JPDA connected with the multi-objective data tracking program, the simulation using the two goals, MATLAB write.)

说明：  9电平MMC逆变器，开环控制，明显可以看出9电平逆变，采用载波移相调制(9-level MMC Inverter, Open-loop)

本文首先介绍了有源电力滤波器的基本结构和工作原理，并对一些常规的谐波电流检测方法的优缺点进行了比较。其次，针对传统的谐波电流检测方法的缺陷，提出将神经网络与基于噪声抵消原理的自适应谐波检测相结合，利用径向基函数运算量小、收敛快、无局部极小值等优点，构造了一种基于径向基函数神经网络的谐波电流检测方法，仿真结果表明该检测方法具有很好的动态响应及畸变电流检测精度。最后，设计了一套实验系统，对本文所采用的系统方案进行了实验验证。仿真表明，本文所采用的有源电力滤波器检测系统方案切实可行，能够较好地实现动态检测谐波和无功功率的目的。 (This paper, firstly, introduces the basic structure and principle of APF, and then makes comparison among some conventional harmonics detections methods. Secondly, contraposes the limitation of the traditional harmonic current detecting method based on neural network, presents the method that combines the neural network and auto adaptive harmonic current detecting method based on the principle of noise each other eliminating.As the characteristics that are small calculative quantity, fast converge, without local minimal point of Redial Basis Function (RBF), this dissertation forms a new harmonic current detecting method based on RBF. The simulation results show that the method has many advantages, such as good dynamic response, high accuracy. At last, A system is designed to verify the proposed APF scheme .The results of simulation show that the proposed APF scheme is practical and can detect harmonics and reactive power effectively. )

说明：  包含锂电池主动均衡充电和放电模型，电路，点击运行可以直接仿真，对研究电池主动均衡的朋友会有帮助。(Li charge and discharge)

C#个人理财管理程序，功能模块：系统登录、注销与切换帐户、个人财务管理、系统维护、实用工具、窗口视图、使用帮助等。每个模块下细分有子功能。VS2005下可直接编译源代码。