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用于滚动轴承故障诊断，找出特征频率，从而进行滚动轴承缺陷进行分析。(For rolling bearing fault diagnosis, to identify the characteristic frequency of rolling bearing defects were analyzed.)

借助人家的东西哦！个人认为是非常不错的C语言例子程序，对于任何初学者来说，这都是非常好的教材！比学课本强多了-with what others Oh! I think it is a very good example of the C language procedure for any newcomer, this is a very good teaching! Learning from textbooks is much easier.

说明：  IDL环境下，根据矢量文件批量对遥感影像进行裁切处理(In IDL environment, remote sensing images are cut in batches according to vector files.)

北大密码学课程的课件~密码学基础1-4 讲得通俗易懂。适合初学者自学使用。也可用来辅助读加解密程序或者编程。-Beijing University courses courseware cryptography Cryptography ~ 1-4 speak basic user-friendly. Suitable for beginners to use self-study. Can also be used to support encryption and decryption procedures, or read programming.

emmd程序，有比较详细的注释，用于处理振动信号(EMMD program, detailed annotation)

物联网综合课程设计 wifi探针信息采集项目(Integrated Course Design of Internet of Things Wifi Probe Information Acquisition Project)

cheatengione.dll for analise applications

Cache Lab: Improving Program Locality

飞思卡尔模型库，应用于ADS软件，用于射频微波仿真(Freescale model library, used in ADS software)

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.)