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用matlab编写的关于层次分析法如何应用的代码(AHP)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

如何用Matlab画图 以西东方向为横轴，以南北方向为纵轴。（选适当的点为原点）将国土最西到最东边界在x轴上的区间划取足够多的分点xi，在每个分点处可测出南北边界点的对应坐标y1 ，y2，(How to use Matlab drawing XiDong direction in the north and south direction for the horizontal axis, for the vertical axis. (choose appropriate point for starting point the west to the east land border on the x axis of interval strokes on the locations take enough in every cent point place xi, can detect the north-south border points corresponding coordinates, y2 y1, )

Simulatiom MIMO Zero Forsing, MMSE

PHOTOVOLTAIC MODELISATION WITH SIMULINK

simmulation 8PSK on fading channel

数值分析要求：第二题编成命令文件即可，其中阶乘可以单独编成函数文件在命令文件中调用，也可以直接在你所编的命令文件中利用循环语句直接计算； 第四题编成通用的程序，建议编成函数文件。提示：可以把多项式的系数和所需要求解的点设为参数。(Numerical Analysis of requirements: the second title of the command file can be compiled, which can factorial function into a separate file in order to call the document can also be made directly in your document, use the command loop direct calculation into fourth title common procedures, the proposed document into function. Tip: polynomial coefficients can be requested and the required parameters set point solution.)

最小平方反褶积matlab代码(新手上路)(Least-squares deconvolution matlab code (Getting Started))

这是一个描述Van der Pol方程相轨线的程序，包含动画演示。(This is a description of the program of the Van der Pol equation rail line, including animation.)

说明：  通过一维映射和二维映射的软判决解码，以减少误码率(the soft-decision of 1D-SD and 2D-SD)