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S3C2416芯片手册-中文不完整版 S3C2416 chip manual - incomplete in Chinese version(S3C2416 chip manual- incomplete in Chinese version)

rayleigh信道仿真，一种简单的实现方法，具有一定的参考价值(Rayleigh channel simulation, a simple way to realize, with some reference value)

主要讲解剪切波最新有关的资料或论文,其用于图像处理方面的应用(The main shear-wave on the latest relevant information or thesis, and its used for image processing applications)

录入程序代码，并对该实验代码进行调试，检查程序代码中的语法和语义错误。 编写函数f（x）的代码如下： Romberg算法¨ function z=f(x) if (x~=0) z=sin(x)/x else z=1 end 备注：在实验代码中，首先输入必要的变量的值如下： a=0 b=1 tol=1e-8 待查询检查通过，开始输入执行代码 设置格式format short g查看u的值和sin（u）的值： (Input program code, and debugging code for the experiment to check the program code in the syntax and semantic errors. The preparation of a function f (x) of the code is as follows: Romberg algorithm ¨ function z = f (x) if (x ~ = 0) z = sin (x)/x else z = 1 end Note: In the experimental code, First, enter the necessary value of the variable is as follows: a = 0 b = 1 tol = 1e-8 pending inquiries, checking through, began to enter the implementation of the code format format short g see u, values and sin (u) values:)

一个matlab与stk交互的例子，实现两个软件的互联(an example of interaction between stk an matlab)

matlab小波分析的程序，实现与傅里叶变换的对比(matlab wavelet analysis procedures to achieve contrast with the Fourier transform)

利用PHD算法对函数的频率进行估计并画出图形(you can obtain frequency of the function by the PHD algorithm and get the figure)

transformée de fourier rapide

在量子智能算法中，针对Grover算法的程序仿真，希望对大家有所帮助(The simulation of the Grover algorithm in the quantum intelligence algorithm.)

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).