convertTDMS

lms算法仿真，及其主要性能分析。步长的影响与学习曲线的分析。(lms algorithm simulation, and its main performance analysis. Step of the analysis and the learning curve.)

用分布傅里叶计算硅波导中的非线性薛定谔方程，考虑硅波导中色散及非线性损耗(solution of NLSE(two pulses propagate in silicon waveguide) using split step fourier method)

FDTD一维吸收边界条件MATLAB代码(One-dimensional FDTD absorbing boundary conditions MATLAB code)

WAVEVIB generates a vibroseis waveform (Clauder wavelet) by ％ first calling SWEEP to generate a linear sweep and then calling ％ AUTO to autocorrelate that sweep. Theoretically, the autocorrelation ％ length is ~ 2*slength but only only the central wlength long ％ part is generated. This is like windowing the auto with a boxcar.(WAVEVIB generates a vibroseis waveform (Clauder wavelet) by first calling SWEEP to generate a linear sweep and then calling AUTO to autocorrelate that sweep. Theoretically, the autocorrelation length is ~ 2* slength but only only the central wlength long part is generated. This is like windowing the auto with a boxcar.)

references for matlab search

this program takes the input from any txt or doc and fills the values in the excel sheet useful for putting the values after taking from any program out put

包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，包含特征值与特征向量的提取、训练样本以及最后的识别，matlab小波分析程序。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, matlab wavelet analysis program.)

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.)

说明：  很好用的matlab神经网络优化算法，值得下载。(Good use of the matlab neural network algorithm, it is worth downloading.)

经典书籍《通信系统仿真原理与无线应用》chap8部分课后题仿真源代码，用MATLAB编写的(Classic book, )