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4进制振幅键控的源代码，运行后得到正常结果！(4 binary amplitude shift keying of the source code, running the results are normal!)

基于matlab的同步发电机模型，得到了清晰的同步发电机运行情况下的电压波形图。(Matlab-based synchronous generator model, a clear case of synchronous generators running voltage waveform graph.)

纯语音和带噪语音,信噪比,带噪语音的产生,语音信号的预处理一——消除趋势项和直流分量(Pretreatment with a pure voice and noisy speech signal to noise ratio, resulting in noisy speech, the speech signal- to eliminate the trend term and DC components)

uniform distribution in hexagon

materila for query optimization

fuzzy logc program using matlab code

说明：  这几篇文章介绍了佩特利网(Petri网)和Stateflow 的基本概念，给出Petri网在MaⅡab环境下的仿真方法．混合Petri网模型为例进行说明， 结合仿真结果对Peri网的性能进行了初步分析。(This articles describes Pei Teli net (Petri net) and Stateflow basic concepts of Petri nets is given in Ma Ⅱ ab environment simulation. Hybrid Petri net model as an example, simulation results with the performance of Peri network conducted a preliminary analysis.)

为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion，是衡量统计模型拟合优良性的一种标准，又由于它为日本统计学家赤池弘次创立和发展的，因此又称赤池信息量准则。它建立在熵的概念基础上，可以权衡所估计模型的复杂度和此模型拟合数据的优良性。 在一般的情况下，AIC可以表示为： AIC=2k-2ln(L) 其中：k是参数的数量，L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数，RSS为剩余平方和，那么AIC变为： AIC=2k+nln(RSS/n) 增加自由参数的数目提高了拟合的优良性，AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)

提供多种函数来计算perform uncertainty and sensitivity analysis，并用散点图和柱状图来显示计算结果。(We implemented many scripts and functions to perform uncertainty and sensitivity analysis (for PRCC and eFAST) and display scatter plots (for sample-based methods only). The scripts are written in Matlab7.1. The Statistical Toolbox is required to run them. The HIV ODE model is used as a template to illustrate the functions.)

采用带宽为3，中心频率为3的复morlet小波对示例信号进行了分析，并绘出时频图。(Using bandwidth of 3, center frequency is 3 complex morlet wavelet to sample signal is analyzed, and draw the time-frequency diagrams.)