kalman-(1)

Space time coding - Alamouti scheme(Space time coding- Alamouti scheme)

A function that simulates the Ring Model

matlab code for Image overlay

功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入可变参数变量，简单调用bfgs时可以忽略它， 但是其他程序循环调用时将会发挥重要作用 输出：x,val分别是近似最优点和最优值，k是迭代次数。(Function: BFGS algorithm for unconstrained problem: min f (x) Input: X0 is the initial point, fun, gfun each objective function and its gradient varargin variable parameter is the input variable, it can be ignored when a simple call bfgs , but other programs will play an important role when the cycle is called output: x, val are approximate optimum and the optimal value, k is the number of iterations.)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

matlab实现kalman滤波 基于无源定位的算法研究(kalman filtering matlab achieve passive location algorithm based on the research)

采用永磁同步发电机实现的最大功率追踪，MATLAB建模仿真。(Using permanent magnet synchronous generator to achieve the maximum power point tracking, MATLAB modeling and simulation.)

LMS的源代码，希望对学习者有用！！！！(LMS source code, hope useful for learners! ! ! !)

做出数据的图谱，并用归一化、傅里叶变换进行藻种识别(photo the data,and then normalize the data and then identify them.)

说明：  基于模拟退火算法的优化算法，用于搭配其它算法（贪心算法等）迭代使用，用于有现容量的Facility_Customer 最佳分配问题，使用时变量为设备容量，设备成本，用户距离，用户需求。降温指数为0.96，降温次数为200，迭代次数为200。(The optimization algorithm based on the simulated annealing algorithm is used in combination with other algorithms (greedy algorithm, etc.) for iterative use. It is used for the optimal allocation of facility "customer with existing capacity. The variables used are equipment capacity, equipment cost, user distance and user demand. The cooling index is 0.96, the number of cooling is 200, and the number of iterations is 200.)