unit commitment and ELD by dynamic programming

是通信类的MATLABA仿真抗正弦噪声干扰能力(communications category MATLABA simulation-sinusoidal noise interference)

王燕编写的《应用时间序列分析》的PPT、程序和数据(the PPT/SAS code/dataset for <time series> by wangyan)

简单的语法缝隙器，可以比较详尽的分析输入语句的语法成分。把想要分析的语句放到parser.in文件中，编译即可看到结果。(Simple syntax gap, you can enter a more detailed analysis of the syntax of the statement components. The statement you want to analyze into parser.in file, the compiler can see the results.)

自学Matlab必备的个小程序代码，数值分析的，里面有十个，需要的下载(Small program code, which must self-Matlab ten, you need to download)

power_seriesbranch,功率电子领域matlab仿真文件，已经验证过，程序运行正常( power_seriesbranch,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

Cyclostationary feature analysis

以227家公司的数据为基础进行kmeans clustering分组，用以预测50家未知公司的效益(Use 227 the companies data as the basis for kmeans clustering to predict the effectiveness of the 50 unknown companies)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

D2D单小区下的功率控制，生成小区，撒点蜂窝用户和D2D用户，信道生成(Power single-cell under control D2D)

说明：  卡尔曼滤波器是用前一个估计值和最近一个观察数据估计信号的值，他是用状态方程和递推的方法进行估计，本例用来追踪一个5阶的FIR不确定的滤波器系数。(Kalman filter is to use the previous estimate and the most recent observation data to estimate the value of the signal, he is using the state equation and recursive estimation methods, in this case is used to track a 5-order FIR filter coefficients of uncertainty.)