prediction-by-wavelet-and-ARMA

《Boost程序库探秘:深度解析C++准标准库》深入探讨了其中的许多重要组件，包括迭代器、函数对象、容器、流处理、序列化以及C++语言中最复杂最具威力的模板元编程。(" Boost library Quest: C++ quasi-depth analysis of the standard library" deeply explored many of the important components, including iterators, function objects, containers, stream processing, sequencing, as well as the most complex language C++ most powerful template meta-programming.)

讲述了现在机械故障诊断中用到的常用时频分析方法，如短时fft 魏格纳维尔分布 小波变换 HHT等，里面含有例子和详细说明，对初学者帮助很大。(Tells the now commonly used in mechanical fault diagnosis frequency analysis methods, such as short-time wavelet transform fft Wigner distribution HHT Louisville, etc., which contains examples and detailed instructions, very helpful for beginners.)

基于人工神经网络的常用数字信号调制，采用波束成形技术的BER计算，采用偏最小二乘法，相控阵天线的方向图（切比雪夫加权），使用matlab实现智能预测控制算法，本科毕设要求参见标准测试模型。( The commonly used digital signal modulation based on artificial neural network, By applying the beam forming technology of BER Partial least squares method, Phased array antenna pattern (Chebyshev weights), Use matlab intelligent predictive control algorithm, Undergraduate complete set requirements refer to the standard test models.)

很强大的3d模式求解程序，可以求解各种结构的模式分布(3D mode solver,)

说明：  本文详细而系统地介绍了Matlab与labview两种应用程序混合编程的方法和应用特点。(In this paper, a detailed and systematic introduction to Matlab and LabVIEW applications two hybrid programming methods and application characteristics.)

滑模变结构控制的基础理论，很适合初学者使用和学习(The sliding mode variable structure control of the basic theory, it is suitable for beginners to use and learn)

通讯类matlab文件，包括简单的QAM调制，星座图的产生等的一些基本程序(Communications matlab files, including simple QAM modulation, such as the generation of FIG want some basic procedures)

backstepping Controller application

将环境信息转换为栅格模型，便于进行下一步的处理和路径规划(The environmental information is converted into a grid model, convenient for further processing, and path planning )

matlab下实现的波束形成技术，利用的是ETAM算法进行合成孔径，增加虚拟阵元个数，以提高定位精度。(matlab achieve beam forming technology, the use of the synthetic aperture ETAM algorithm to increase the number of the virtual array elements in order to improve positioning accuracy.)