shortest-path

通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。 (Through the adaptive FIR filter, constantly modify the system function, with unknown system parameters to the full approach, so that error, and achieve the purpose of system identification.)

说明：  能够用来求解部分关利用遗传算法的优化模型。。(Relations can be used to solve some of the optimization model using genetic algorithms. .)

说明：  这是多重信号分类的经典算法，仔细阅读，希望有所帮助，欢迎各位下载！(This is a classic multiple signal classification algorithm, carefully read, I hope be helpful, to welcome you all to download!)

雷达的信号处理 恒虚警检测 MTD 分快慢门限(Radar signal processing MTD CFAR detection threshold of speed)

一个非线性滤波器的实现程序，能够实现其基本的功能，对于初学者很有帮助。(A nonlinear filter is implemented procedures to achieve its basic functionality, useful for beginners.)

一种同频重叠信号自适应盲分离算法,自适应盲分离算法RLS(An adaptive blind source separation algorithm for CO frequency overlapping signals RLS )

非时序和时序蒙特卡罗方法来求解风力发电系统可靠性(Non-sequential Monte Carlo method and timing to solve the wind power system reliability)

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.)

一些有助于学习dsp的形象的教程性的程序(That will help to learn dsp easily )

关于主成分分析的文章，本人所作，有一定参考价值的(on principal component analysis of the article, I made a reference to a certain value)