PSO

matlab程序很详细,主要是kalman滤波部分程序，轨迹估计，以及误差估计等最小线性误差估计(matlab program in great detail, the main part of the program is the kalman filter, trajectory estimation, and error estimation of the minimum linear error estimation)

由于利用fft变换存在频谱泄露和栅栏效应，本程序利用加窗fft算法，来解决这方面的问题(As the use of fft transform existing fence effect of spectrum leakage and the procedure used windowed fft algorithm to solve this problem)

Genetic algorithm neural network function extremum optimization

music算法进行到达角（AOA）定位的仿真源代码，希望对大家有帮助(music DOA algorithm (AOA) positioning the simulation source code, we want to help)

说明：  反演问题离散后存在不适定性，平均核求解比较稳定且接近真解。(averaging kernel)

AE开发，InterSect操作AE开发，InterSect操作AE开发，InterSect操作AE开发，InterSect操作(ArcEngine for intersect tool)

含噪脉冲信号进行相关检测,滤波求和方式实现宽带波束形成，欢迎大家下载学习，线性调频脉冲压缩的Matlab程序,数学方法是部分子空间法。( Noisy pulse correlation detection signal, Filtering summation way broadband beamforming, Welcome to download the study, LFM pulse compression of the Matlab program, Mathematics is part of the subspace.)

用平面波展开法计算二维声子晶体带隙,能量谱分析计算,合成孔径雷达（SAR)目标成像仿真。( Computation Method D phononic bandgap plane wave, Energy spectrum analysis and calculation, Synthetic Aperture Radar (SAR) imaging simulation target.)

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.)

this source code is matlab rectifiers