Fn_RMSHE

ASN.1解析解码工具,可以解析各种ASN.1格式的文件,并对相应的BER文件解码(ASN.1 decoding analytic tools that can resolve all kinds of ASN.1 format files, and file decoder BER corresponding)

静态系统的matlab仿真，仿真得出一个幅度调制的输入输出波形。(Static system s matlab simulation, the simulation obtains an amplitude modulation the input output wave shape. )

我最近发表的一篇卡尔曼滤波的论文和程序，有详细的注释，且论文已发表，通过专家审核，滤波程序精度高，希望能对大家有帮助。(I recently published a Kalman filter papers and procedures, detailed notes, and papers have been published, through expert review, filtering procedures with high precision, hoping to be helpful to everyone.)

EMD分解，可以有效的解决EMD分解问题，并嫩而过画出希尔伯特谱(EMD decomposition, can effectively solve the problem of EMD and tender and had drawn Hilbert spectrum)

Matlab实现基于radon变换的图像重建 Matlab实现基于radon变换的图像重建(Matlab-based radon transform of the image reconstruction)

PHD filter example and fully written example matlab code

说明：  振动烈度计算的MATLAB算法，根据振动加速度信号的频域积分计算振动烈度(The MATLAB algorithm for calculating vibration intensity, vibration acceleration signals according to frequency domain integral calculation of vibration severity)

This set of scripts allows the shadowing of a building to be simulated. It allows the interference between two systems operating at the same frequency to be studied. This simulation can do two main types of simulations: 1. Animated simulation where we have a fixed system, with one or more transmitters, and a single mobile interfering user. The shadowing for the mobile user and the interference it generates can be studied. The animations store each frame as a JPG file, which can be imported in to a video editing package to be converted to a movie. 2. Interference between two systems at the same frequency, each with multiple transmitters

经典的模态分解emd程序,有详细的中文说明，方便使用(The classic modal decomposition the emd program, a detailed description of the Chinese, easy to use)

单纯形法matlab程序 求解标准型线性规划:max c*x s.t. A*x=b x>=0 本函数中的A是单纯初始表，包括:最后一行是初始的检验数，最后一列是资源向量b N是初始的基变量的下标 输出变量sol是最优解, 其中松弛变量（或剩余变量）可能不为0 输出变量val是最优目标值，kk是迭代次数( example：max 2*x1+3*x2 s.t. x1+2*x2<=8 4*x1<=16 4*x2<=12 x1,x2>=0)