PSO_template

程序中列举了4种窗函数的fir低通滤波器设计方法，并进行了谱分析(Program listed four types of window functions fir low pass filter design methods, and conducted a spectral analysis)

说明：  大家好，我是建模的新手，希望大家相互交流共同提高。只是一个教程。很有用的哦。(Hello everyone, I am modeling the novice, I hope everyone together to improve mutual exchanges. Just a tutorial. Oh, very useful.)

Backpack Genetic Algorithm Beta Version

目前最全的自适应波束形成Matlab程序，包括了Capon、LCMV、LMS、RLS、mvdr、SMI算法、智能天线自适应波束形成算法等各类matlab程序。(adaptive beamforming Matlab procedures, including the Capon, LCMV, LMS, RLS, mvdr, SMI algorithm, adaptive beamforming smart antenna algorithms and other types of matlab procedures.)

单脉冲模糊函数方面的MATLAB源代码，供大家参考，(Single pulse ambiguity function aspects of MATLAB source code for your reference,)

Introduvtion to signal processing with matlab

说明：  采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

网站上关于遗传算法开发可谓工具箱满天飞。可工具箱超级难用。鉴于此，本人自己完全用matlab实现遗传算法解决多背包问题并留了qq。(Web site development on the genetic algorithm toolbox is all over the place. Toolbox can be super hard to use. In view of this, I am not at all with the realization of genetic algorithm matlab knapsack problem solve and stay more than a qq.)

获取一个文件夹的创建时间、文件夹中文件内容及文件创建时间等信息(Get a folder was created, the contents of files in a folder and file creation time, etc.)

performs the Viterbi algorithm on detected to get the decoded_seq.