PCA

blast检测方案仿真程序.rar (blast检测方案matlab仿真程序)(blast simulation program testing program. rar (blast detection program matlab simulation program))

基于simulink/RTW的闭环控制系统平台设计(Based on simulink/RTW of the closed-loop control system design of the platform)

It is a Group search optimization program code and the result is good.

说明：  多目标粒子群算法，两个目标的粒子群算法，得到的图时帕累托前沿(Particle swarm optimization algorithm for two targets)

动态模型参数的极大似然辨识及其MATLAB实现范例(Dynamic model parameters of maximum likelihood identification and implementation examples of MATLAB)

在这本实用的指导书帮助下你立即就可使用MATLAB了。《MATLAB揭秘》为学习这种功能强大的数学计算工具提供了高效的、启发性的方法。 本书使用简单易行的风格，一开始介绍了MATLAB基础，你将学习到如何绘制图象，求解代数方程及计算积分，也将学习到如何求解微分方程，求ODE的数值解，使用特殊函数工作。本书含有几百个例子及其详细解说过程，章末带有习题，书末还带最终测试题目，一句话，本书给予你的是MATLAB精华。 (In this practical guide book to help you immediately can use the MATLAB. " MATLAB Secret" To learn this powerful tool for mathematical calculations to provide a highly efficient and enlightening way. The book is easy to use style, the beginning describes the basis of MATLAB, you will learn how to draw images, solving algebraic equations and calculating the points will also learn how to solve the differential equations, and numerical solution of ODE, the use of special function工作. This book contains hundreds of examples and a detailed explanation of the process, with the end of chapter exercises, the book also take the final test at the end of the topic, a word, this book is to give you the essence of MATLAB.)

原始snake matlab 源碼，簡單版( seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iterations to run segmentation for rad (optional) Localization Radius (in pixels) smaller = more local, bigger = more global alpha (optional) Weight of smoothing term higer = smoother method (optional) selects localized energy 1 = Chan-Vese Energy 2 = Yezzi Energy (usually works better))

最大化电动汽车充电收益，利用线性模型进行最优求解。(EV charging revenue maximization, the optimal use of a linear model to solve.)

qpsk modulation in matlab

说明：  利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。(The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results.)