noisex-92噪声库

STFT相关函数，包含了源代码，说明和简单的例子。(STFT related functions, including the source code, descriptions and simple examples.)

ADI的ADSP-BF561下实现多媒体开发的通用框架。-ADI

说明：  可可网络验证山寨教程，完美通杀可可9.5(Coco network verification Shanzhai tutorial)

chess game developed by java ... enjoy

说明：  reset impresora epson

说明：  springmvc是常用的一种框架，学习springmvc非常重要，故需要良好教程资料(Spring MVC is a commonly used framework. It is very important to learn spring MVC, so good tutorial materials are needed)

各类熵实验程序（香农熵、排列熵、近似熵等）(Various kinds of entropy experimental procedures(Shannon entropy, permutation entropy, approximate entropy, etc.))

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.)

说明：  对产生的各类信号如正弦波、方波、脉冲信号、三角波等的函数使用实例(Examples of using functions of various kinds of generated signals such as sine wave, square wave, pulse signal, triangular wave, etc.)

说明：  动态模式分解的matlab 代码，有注释(Matlab code for dynamic mode decomposition with comments)