untiled

％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％( BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces))

关于高斯塞德尔和雅可比矩阵以及牛顿拉佛逊法的详细例子,主要是采用matlb中的语言编写的(Sise and Bender on the high Jacobian matrix and the Newton Raphson method Laffer detailed examples, mainly used in languages matlb)

num=[2 1.4 -0.9 -0.158 0.4104 0.0294 -0.0668] den=[1] figure(1) zplane(num,den) num1=[1 2.7 -12.61 -24.757 66.301 62.072 -126.786] den1=[1] figure(2) zplane(num1,den1) num2=[0.2 -0.26 1.934 10.413 1.934 -0.26 0.2] den2=[1] figure(3) zplane(num2,den2) num3=[1.25 0.5 -2.1 -2.1 0.5 1.25] den3=[1] figure(4) zplane(num3,den3) num4=[1.1 3.12 -2.5 0.6 0.5 0.006 1] den4=[1] figure(5) zplane(num4,den4) (good)

对极限学习机的数据的补充。This paper has demonstrated that ELM can be used efficiently in many applications, however, two more interesting aspects are still open: the universal approximation capability9 of ELM and the performance of ELM in sparse high-dimensional applications, which are currently under our investigation.(Extreme Learning Machine data supplement.)

acl细粒度访问控制机制 简单易懂 能够成功运行(The acl fine-grained access control mechanism Easy to understand To be able to run successfully)

introduction to water level control system

对示波器或其他设备在实验中接收并储存的离散信号进行绘图，行程信号曲线图(Oscilloscope or other device is received and stored in the experiment drawing discrete signals, the signal graph stroke)

here some matclab code writtten by me and related on wireless sensor network are uploaded

这主要是一些课程文档是关于MATLAB神经网络应用设计的，有图像处理相关的，还有编程指导(the book of MATlab which is related with image recognition and MATLAB programing)

说明：  使用遗传算法、粒子群优化算法和量子遗传算法对认知无线网络进行频谱分配(Using genetic algorithms, particle swarm optimization algorithm and quantum genetic algorithm for spectrum allocation in cognitive radio networks)