Karlman

简单示例guice的demo,用guice用于web开发(A simple example of demo guice)

均值向量的编程的学习算法 通过这个算法可以变成处理图片的跟踪(Mean Vector learning algorithm programming algorithm can be turned through this track with pictures)

该程序基本涵盖了OFDM-16QAM系统传输的全过程，除了调制解调外，有添加循环前缀，加窗的过程。生成图像有各个阶段的时域、频域图，以及发射前后的星座图。(This basically covers the whole process of OFDM transmission- 16 qam system, in addition to the modem, have add cyclic prefix, plus the window procedure. Generate the image at various stages of time domain and frequency domain graph, and before and after the launch of the constellation diagram.)

3D PLOT USING MATLAB IN PSCAD WARNING * This case only works if you use the Compaq/Intel Fortran Compiler. A T_D_PLOT component. It provides the interface to a MATLAB function t_d_plot . It is a user-defined function and the m-file T_D_plot.m contains its definition. This component plots a 3-dimensional curve. Input: X, Y and Z values of the point to be plot Output: a dummy output of value zero Parameters of T_D_PLOT component.

基于matlab平台，通过DCT算法来对视频进行压缩。代码包括视频分解成帧，DCT算法压缩，帧合成视频，以及综合的视频压缩M文件，可以直接仿真。有相应的图片，以及压缩前后的视频，还有原理word报告。(Based on matlab platform, through DCT algorithm to compress the video. Code includes video decomposition framing, DCT compression algorithm, frame composite video, and integrated video compression M files can be directly simulated. Corresponding images, and compressed video before and after, as well as the principle of word report.)

ODE15s可以处理刚性微分方程。采用向后微分公式，效率不是很高，但是对于一些ODE45会失效或计算效果很差的情况下，可以使用。可能是由于方程刚性引起的。(ODE15s can handle rigid differential equations. Using the backward differential formula, the efficiency is not very high, but it can be used when some ODE45 will fail or the calculation results are very poor. It may be caused by the rigidity of the equation.)

自己编写的改进ELMAN网络辨识程序.非常实用(I have written procedures to improve the ELMAN network identification. Very useful)

The above matlab code include the simulation of dipole antenna and current distribution using standard algorithm

sareli<matlab科学计算>配套程序(sareli )

高斯模拟污染物扩散，数据为深圳2012年东风的，数学建模题(Gauss simulation of pollutant diffusion, data for 2012 Shenzhen Dongfeng, mathematical modeling problem)