SO-CFAR

通过matlab中的函数功能，绘制各种图形(Function in matlab function to draw various graphics)

channel flow computation

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

the example of matlab matlab(matlab )

说明：  正交匹配跟踪算法: 是贪婪算法中稀疏求解的方法(Orthogonal matching pursuit algorithm: Solving Sparse)

程序功能：模拟DCT编码解码过程，生成带“块效应”的图像 实验图片：lena.jpg(512*512) 步骤：彩色图像→灰度图像→DCT→量化→反量化→IDCT→重构图像并保存( Program features: Analog DCT encoding and decoding process, generated with the " block effect" image Experimental Image: lena.jpg (512* 512) steps of: a color image grayscale images → → → inverse quantization quantized DCT → → IDCT → weight configuration and save the image)

说明：  经典Runge-Kutta法，计算积分的源代码，用matlab实现(Classical Runge-Kutta method to calculate the source code of points, using matlab implementation)

说明：  用MA TLAB 语言及MA TLAB 语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比 较灵活、编程效率高等特点. 本文对遗传算法和基于MA TLAB 的遗传算法优化工具箱(GAO T ) 作了简要的介 绍、分析了优化工具函数, 并结合非线性、多峰值函数问题的优化实例, 说明了遗传算法是一种具有良好的全局 寻优性能的优化方法.(MA TLAB with language and language of the MA TLAB optimization toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. In this paper, genetic algorithm and MA TLAB based on genetic algorithm optimization toolbox (GAO T ) gave a brief introduction, an analysis of function optimization tool, combined with non-linear, multimodal function optimization problem examples to illustrate the genetic algorithm is a good global optimization method to optimize performance.)

PSO code matlab psooooooooooooooooo

image segmentation /clustering