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牛顿拉夫森法用来解决极大似然估计的问题。很好用。(Newton La Fusen method to solve the problem of maximum likelihood estimation. Good use.)

本次实验是无线楼宇数据传输仿真，即在楼内实现点对点的无线数据通信，需要获得的关键是两点之间的距离和楼层衰减。通过了解914M的楼宇通信特性，建立楼宇数据通信系统的仿真模型，采用无线收发芯片NRF905,实现楼宇内的数据通信仿真分析。 (this experiment is building wireless data transmission simulation, in the building of peer-to-peer wireless data communications, need, the key is the distance between two points and the floor attenuation. 914 M by understanding the communication characteristics of the buildings, the establishment of building data communications system simulation models, adoption of wireless transceiver chip NRF905 achieve buildings on the simulation analysis of data communications.)

Xilinx公司pc_cfr IP核的MatLab仿真(matlab simulation model of pc_cfr ip core of xilinx)

wind speed simulink model kaimal spectrum

最炫民族风的源代码，喜欢的可以下载下来，放在matlab中听一下。另外，这里还有其他音乐代码，需求的可以私信我。(The most unusual national wind source code, like you can download and put matlab liking it. In addition, there are other music code, demand can private letter to me.)

这是一个m语言的程序，主要是实现模糊pid的控制算法(This is a program m language, mainly fuzzy pid control algorithm implementation)

主动频率偏移法的改进,可以作为参考，只是需要一定的文献才能看懂(this s a typical method to solve the problem about the isolated land)

用时域有限差分方法分析了外开槽同轴线的截止频率(Finite difference time domain method to analyze the cutoff frequency outside the slotted coaxial)

用matlab生成下列500*500的RGB红绿蓝彩色图像，框内的颜色如图所示（a）假定将该图像转换到HSI空间，用25*25的平均模板模糊H分量图像，再转换回RGB空间，会看到什么结果?(Generated with matlab the following 500* 500 RGB red, green and blue color image, the color box as shown (a) assumes that the image is converted to HSI space, with the average template 25* 25 Fuzzy H component image, and then converted back RGB space, see what results?)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)