A_Unified_CrossLayer_Framework

Matlab入门教材，可以作为入门是的读物。(Matlab entry materials, can be used as entry is reading.)

Many source code for bootstrap technics developped in matlab are presented in attached files.

Matlab sumilink model contains summ and gain.

连续波雷达的仿真代码，具有一定的参考意义(CW radar simulation code, with some reference value)

本文利用文献〔1〕、〔2〕、〔3〕中关于指数分布的特征刻划与稳定性定理,得到了均匀分布,瑞利(Rayleigh)分布和威布尔(Weibull)分布的一些特征性质与稳定性结果(In this paper, literature 〔1〕 〔2〕 〔3〕 on Exponential Distribution and characterization and stability theorem, the uniform distribution, Rayleigh (Rayleigh) and Weibull (Weibull) distribution in the nature of some features Stability Results)

Hurst指数是描述非函数长周期的重要指标。它有别于传统单位根检验，可以发现时间序列存在的超长周期性，可以用于判断市场风险，但运算相当繁琐，单独利用Excel计算费时又费力，作者在充分理解Hurst指数内涵和应用的基础上，利用Excel的宏语言VBA编写宏程序轻松实现Hurst指数的计算，通过这一工作也希望能使Hurst指数能够得到广泛的应用。(Hurst index is to describe the function of the long period of non-important indicator. It is different from the traditional unit root tests, time series can be found in the presence of the long periodicity, can be used to determine market risk, but the operation rather cumbersome, separate consuming and laborious calculations in Excel, the authors fully understand the meaning and application of the Hurst exponent based on the use of Excel macros written in VBA macro language easily Hurst index calculation, also hopes to make this work through the Hurst exponent can be widely used.)

本程序为eemd的基本程序，可以通过调用此程序对信号进行eemd分解(This program is eemd the basic procedures, you can call this process decomposition of the signal eemd)

Microstrip Patch Antenna. HFSSv10 (download simulation file)

genetic algorithm In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

this folder contain universal dataset for classification