dea

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

using Matlab prepared by the four bands Runge-Kutta procedure

lsb embedding for invisible image watermarking

使用EKF和粒子滤波在简单的平台上实现定位，是本人在华盛顿大学机器人课程作业的基础上编写完成的，可以作为滤波和移动机器人定位的基础教程使用。 Author：Wilford Wang PS. 可以先下载本人之前上传的Project-1.rar(华盛顿大学的课题作业)，自行编写，再与我写的程序做比较，可以达到比较好的学习效果。(Using the EKF and particle filter in a simple platform for location, is my course work at the University of Washington, based on the robot to complete the writing can be used as filtering and mobile robot localization based tutorial. Author: Wilford Wang PS. Before I can upload to download the Project-1.rar (University of Washington project work), write your own, and I wrote the program and then compare, you can achieve better learning results.)

凸优化工具箱 boyd编写cvx for win32位系统，内涵说明(cvx toolbox for windows32)

dc＋＋ 常用的程序 ！！希望队大家有帮助！有需要得人下(dc commonly used procedures! ! Hope the team will help you! There is a need to have people under the)

Matlab编制的利用相位特征完成图像匹配(match image feature points using phase data)

If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c=mergesorted(a,b) can be used. (If we have two vectors individually sorted "a" and "b" but they are not sorted with respect t o each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c = mergesorted (a, b) can be used.)

说明：  C-C法重构相空间文件夹说明1.CC_Method_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 信号归一化 4、ccFunction.dll - 计算S(m,N,r,t)(C-C method reconstruction phase space folders note 1.CC_Method_main.m-procedure two main documents, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-In a signal of 4, ccFunction.dll-calculated S (m, N, r, t))

粒子群算法，为最优化问题的一种解法，调用方法和参数包含在主文件里。使用matlab实现(Particle swarm optimization for optimization problems, a solution, calling the method and parameters included in the main file. Using matlab to achieve)