frtestsystem

D-S证据理论数据融合，包括压缩比、运行时间和计算复原图像的峰值信噪比,合成孔径雷达（SAR)目标成像仿真。( D-S evidence theory data fusion, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Synthetic Aperture Radar (SAR) imaging simulation target.)

四阶累积量ESPRIT方法仿真讨论，很实用。(ESPRIT method for fourth-order cumulant simulation discussion, it is practical.)

S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。(S transform Matlab source, Applied Signal and several examples to illustrate how the use of Transform's's transformation can be used to do anything. Transform's time-frequency analysis is the area of a newer, now in signal processing, seismic exploration, Speech Recognition and other areas has started its applied research, is a hot spot.)

[数据挖掘]数据挖掘部分算法的matlab实现 C4_5 比较经典的代码([Data Mining] part of data mining algorithms compare classic C4_5 realize matlab code)

CheckMate is a MATLAB-based tool for modeling, simulating and investigating properties of hybrid dynamic systems. Hybrid systems are modeled using the Simulink graphical user interface (GUI). Parameters and specifications are entered using both the Simulink GUI and user-defined m-files. CheckMate commands are entered in the MATLAB command window. (CheckMate is a MATLAB-based tool for modeling, simulating and investigating properties of hybrid dynamic systems. Hybrid systems are modeled using the Simulink graphical user interface (GUI). Parameters and specifications are entered using both the Simulink GUI and user-defined m-files . CheckMate commands are entered in the MATLAB command window.)

matlab小波表波变换程序，可以直接读取txt文件中的波形，然后直接显示(Table matlab wavelet transform program, you can directly read waveform txt file, and then displayed directly)

MATLAB程序设计教程电子教案,讲述MATLAB图形用户界面设计。(MATLAB programming tutorial e-lesson plans, about the MATLAB graphical user interface design.)

MATLAB信号处理工具箱中的一个调制信号函数amodce(MATLAB Signal Processing Toolbox function of a modulation signal amodce)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

command vectoriel of induction motor