0812740_2014_completo

this is file for c++ learning in chinese version

matlab 自回归模型的matlab实现(autoregressive model matlab implementation of the matlab)

The source code of aovdv routing protocol . used to construct route between sendr and reciver

hht1.介绍2.非平稳数据处理方法回顾（声谱图、小波分析、WVD、改进谱、经验正交函数展开、其他各类方法）3.瞬时频率4.固有模态函数5.经验模式分解方法：过滤方法6.完整性和正交性7.希尔伯特谱8.确认和校准希尔伯特谱9.应用（经典非线性系统大量的结论、试验中得到的观测数据）10.讨论11.结论(1. Introduction 2. Non-stationary data processing methods Review (spectrogram, wavelet analysis, WVD, improving the spectrum, empirical orthogonal function expansion, other types of methods) 3. Instantaneous frequency of 4. Intrinsic mode function 5. Empirical Mode Decomposition Methods: filtering methods 6. completeness and orthogonality 7. Hilbert spectrum of 8. to identify and calibrate Hilbert spectrum 9. Applications (classical nonlinear systems a lot of conclusions, the trial in the observational data) 10. discussion 11. Conclusions)

abaqus子程序详细教程，非常经典，对新手帮助很大(A subroutine of abaqus detailed tutorial, very classic, a great help for beginners)

浙江大学研究团队介绍，各位大牛可以看看，能提高自己的见识和阅读水平(Zhejiang University research team, you can look at the big bull, can improve their knowledge and reading level)

大学C++ 课程 模板PDF版 授课内容 详细(University C++ course template PDF version taught detailed)

说明：  C++编程指南电子版 ，林锐博士的多年C++编程经验总结，其中C++编程中需要注意的问题和编程技巧总结的不错 (C++ programming guidelines electronically, Dr. Lin Rui years of Experience in C++ programming, including C++ programming problems that need attention and good programming skills summary)

说明：  触摸屏控制两台PLC，非常实用，有需要请下(触摸屏)

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. )