Cognitive-Radio-Matlab-Source-Code

WIRELESS OFDM TECHNIQUE USING SIMULINK

说明：  medical image denoising via multiscale product thresholding

一段关于MUSIC算法的仿真程序，对结果进行绘图(Music algorithm simulation program)

algorithme FCM code matlab type .m

It is fast sparse linear programming solver, with fast speeder.

matlab 学习资料 第四章 matlab 绘图(Chapter IV of learning materials matlab mapping matlab)

著名的monte carlo 算法，里面详细的介绍了monte carlo 算法的特点。并举了好几个例子来说明该算法的应用。(A very famous monte carlo algorithm. In this article, the characteristics of monte carlo algorithm is introduced. What s more, several applications are presented.)

利用Mersenne Twister算法产生随机数，并测试和分析了其随机性。 程序中还加入了界面显示。 各个文件为： initGenerator.m： initGenerator函数，用于初始化随机序列的长度和值 generateNum.m: generateNum函数，当index为0时被调用，用于创建624维的移位寄存器数组 extractNum.m: extractNum函数，根据index当前值选择数组中的数生成随机数，同时改变index的值。 main.m: main主函数，输入种子seed和产生数目total，输出产生结果及随机性测试结果 mymy.m和mymy.fig: 用于界面显示的部分，这两个文件会通过界面传入seed和total的值，并调用main函数，在相应的框中显示输出结果。 (According to the algorithm principle on Wikipedia, the Mersenne Twister algorithm to generate random numbers, and test and analysis of its randomness. The program has also joined the interface display. The individual files are: initGenerator.m: initGenerator function used to initialize the random sequence length and value generateNum.m: generateNum function is invoked when the index is zero, and used to create a 624-dimensional shift register array extractNum.m: extractNum function, according to index the current value to select the number to generate random numbers, and change the value of the index in the array. main.m: main function of the input seed to seed and produce the number of total, the output generated results and the randomness of the test results mymy.m and mymy.fig: Part of these two files for interface display interface incoming seed and the total value of, and calls the main function, to display the output in the appropriate boxes.)

模拟高耸结构的随机风载荷，风速时程，风载荷时程(Analog towering structures to random wind loads, wind speed time)

Myplotyy plots different data sets with a common x-axis allowing for different y-axes in one figure. The properties of every curve can be adjusted indivually, such as linear or logarithmic scale, normal or reverse scale, confidence intervasl, colours, curve labeling