独塔斜拉桥命令流

金字塔交易系统，程序化交易策略源码，供测试学习使用(Pyramid trading system)

说明：  通过ANSYS APDL将脉动风荷载施加到桥梁上(Pulsating wind loads on bridges through ANSYS APDL)

HDMI1.0 Specification

很普通的一个程序，数据库的应用，PB编写的-a very common procedure, the database application, prepared by PB

win32 二进制，显示hello world(Win32 binary, showing Hello World)

matlab动力学分析程序详解,微分方程的求解,时间历程的绘制(Matlab dynamic analysis program detailed solution, differential equation solution, time history drawing)

灰度相关法、相位相关法、和金字塔+相位相关法对实现图像匹配(Gray correlation method,Phase correlation method and Pyramid-Phase correlation to match image)

说明：  LabVIEW与MATLAB混合编程 在LabVIEW中链接MATLAB里的FFT函数，进行频谱分析，与调用LabVIEW平台的FFT函数进行分析的结果相比较。(Hybrid programming of LabVIEW and MATLAB Link the FFT function in MATLAB in LabVIEW to do spectrum analysis, and compare with the result of calling the FFT function of LabVIEW platform.)

列表框运行输入，可以在运行时输入数值，并且在可以自动在前面添加项(The list box runs the input, which can enter numeric values at run time, and automatically add items in front.)

说明：  HHT主要内容包含两部分，第一部分为经验模态分解（Empirical Mode Decomposition，简称EMD），它是由Huang提出的；第二部分为Hilbert谱分析（Hilbert Spectrum Analysis，简称HSA）。简单说来，HHT处理非平稳信号的基本过程是：首先利用EMD方法将给定的信号分解为若干固有模态函数（以Intrinsic Mode Function或IMF表示，也称作本征模态函数），这些IMF是满足一定条件的分量；然后，对每一个IMF进行Hilbert变换，得到相应的Hilbert谱，即将每个IMF表示在联合的时频域中；最后，汇总所有IMF的Hilbert谱就会得到原始信号的Hilbert谱。(The main content of HHT includes two parts. The first part is Empirical Mode Decomposition (EMD), which was proposed by Huang, and the second part is Hilbert Spectrum Analysis (HSA). Simply speaking, the basic process of HHT processing non-stationary signals is: firstly, the given signal is decomposed into several intrinsic mode functions (represented by Intrinsic Mode Function or IMF, also known as intrinsic mode functions), which are components satisfying certain conditions; secondly, Hilbert transform is applied to each IMF. The corresponding Hilbert spectrum is obtained, that is, each IMF is represented in the joint time-frequency domain; finally, the Hilbert spectrum of the original signal is obtained by summing up the Hilbert spectrum of all IMFs.)