adaptivethreshoding

基于MATLAB的QPSK数字调制与解调的仿真(QPSKSimulation)

说明：  一个非常不错的savitzkyGolay工具包 并有详细的帮助说明 功能强大(SavitzkyGolay a very good kit and a detailed description of the powerful help)

通信系统建模仿真源码 包括蓝牙 CDMA IS95 OFDM MIMO极其相关函数(Modeling and simulation of communication systems including source code is extremely Bluetooth CDMA IS95 OFDM MIMO correlation function)

kalman filter this is the code which serves an example to work on with kalman filter

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

海洋数据、图像处理的matlab软件包，最新版本1.4h(ocean data,omage processing tools,ver1.4h )

MATLAB环境下V-BLAST算法的仿真程序(MATLAB environment, V-BLAST algorithm simulation program)

利用MATLAB进行三维图像的绘制，非常详细的介绍了有关的操作步骤！(Using MATLAB for the rendering of three-dimensional images, a very detailed introduction to the steps!)

Matlab对kalman状态空间模型估计(Matlab on the state space model to estimate kalman)

说明：  gui用户界面，傻瓜式读取任意oisst的nc文件，并绘制sst全球分布图(GUI user interface, reading NC files of any oisst and drawing global distribution map of SST)