emif2axi_v1_00_a

这是一篇关于matlab在土木工程中地震分析的论文，也算是这方面的入门的基础，希望可以帮助到大家。(This is a paper on seismic analysis of MATLAB in civil engineering. It is also the basis of this introduction. I hope it can help you.)

arm 很详细的全面的专业arm移植文档！ 不可多得！-arm very detailed comprehensive professional arm Portable Document! Rare!

说明：  登录系统的时候，打开功能快速调用。在过滤中输入，明细功能的首拼或汉字，列表会自动检索你输入的数据，按上下键选择你想要打开的功能(直接在过滤文本框按上下键即可)，然后按回车即可调出功能。(When you log on to the system, turn on the function to call quickly. Input in the filter, the first spelling of detailed functions or Chinese characters, the list will automatically retrieve the data you entered, press the upper and lower keys to select the function you want to open (just press the upper and lower keys in the filter text box), and then press Enter to call out the function.)

说明：  深度学习目标检测的yolov3,可以直接拿来作为目标检测的模型(Yolov3 for deep learning target detection)

另外一个动态时间规划算法，与上次使用的方法不同。(Another dynamic time planning algorithm is different from the one used last time.)

com口实现希捷硬盘维修(modify seagate hdd)

说明：  利用迭代实现n的阶乘，极为简单的程序，方便初学者看懂(Using Iteration to Realize the Factorial of n)

说明：  VISUAL STUDIO 与 MATLAB实现混合编程(Mixed Programming with VISUAL STUDIO and MATLAB..)

说明：  风力发电机组双馈式变流器的技术说明，标准要求，测试要求(Wind turbine DFIG converter number one)

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.)