BPSK

turbo convolution code in matlab

基于MATLAB的原理应用，此程序可实现2d的吸收边界算法，比较简单(This MATLAB M-file implements the finite-difference time-domain solution of Maxwell s curl equations over a two-dimensional Cartesian space lattice comprised of uniform square grid cells.)

追逐问题是现实生活中的常见问题,本文就三人绕正三角形的追逐问题建立起了两个数学模型:一个充分应用运动的周期性首先给出了三人共边的充要条件,然后直接给出在一个周期内三人共边的次数及起止时刻,另一个则利用初等数论的方法给出了三人共边的另一个充要条件 利用matlab长于计算和强大的绘图功能,本文分别给出了求解两个模型的matlab程序,通过动画仿真演示三人绕正三角形的追逐模型,并给出三者共边的时间起止点和共边的次数。 更多还原 (The problem is that in real life the pursuit of the common problems, the paper chase on three questions about the triangle established two mathematical models: a full application of the cyclical movement Firstly, the necessary and sufficient conditions of the three sides, and then directly within a given period of three sides of the starting and ending times and moments, and the other using elementary number theory approach gives another three necessary and sufficient conditions of the edge using matlab longer computing and powerful graphics capabilities, this paper two models are given for solving matlab program, triangle chase through animated simulation model demonstrates trio around and gives the time of the beginning and ending points of the three sides and the number of edges. More Restore)

实现信号的随机共振处理,包括matlab代码的实现(introduce the procedding of signal)

determinant andeigen values

Relief的Matlab源程序，Relief计算分类权重。输入格式在程序中有详细说明(Relief of the Matlab source code, Relief categorization weight calculation. Input format in the procedure is described in detail)

本程序为交互式多模型算法，提供IMM跟踪功能(the procedures for the interactive multi-model algorithm, IMM tracking function)

lms算法经典，实现了lms自适应的源程序。经过调试，绝对可以运行(lms classical algorithm, achieving adaptive lms of the source. After debugging, can definitely run)

PSCAD风电场建模（PMSG永磁同步发电机） 及发电机的矢量控制(Vector Control PSCAD wind farm modeling (PMSG permanent magnet synchronous generator) and generators)

基于投影逼近子空间（PASTD）算法的DOA估计，PASTD算法可以快速度估计协方差矩阵的特征向量(doa estimation using pastd algorithm，pastd algorithm can estimate eigenvectors of covariance matrix quickly)