ROC

一个非常全面的捷联惯导程序，包含了从初始对准、初值的设定，四元素的四阶龙格库塔法更新，对速度微分方程和位置方程分别用龙格库塔法和欧拉角法求解(A very comprehensive program SINS, including from the initial alignment, initial set, the four elements of the fourth order Runge-Kutta method updates the location of the speed differential equations and the Runge-Kutta method were used and the Euler angle method)

适用于压缩感知图像处理的工具包，对从事MR图像处理的朋友希望有帮助，matlab开发(wave lab forMRI processing)

实现OPNET与MATLAB的联合编程功能。在OPNET建模过程中，添加本文件中的代码，即可在仿真运行过程中打开MATLAB引擎，实现OPNET与MATLAB的联合编程(OPNET and MATLAB realization of joint programming. In the OPNET modeling process, adding the code in the file, you can open the MATLAB engine during a simulation run, the realization of joint programming OPNET and MATLAB)

1. 基于simulink搭建一个QPSK发送链路，QPSK调制信号经过了瑞利衰落信道，观察信号经过衰落前后的星座图，观察信道特性。仿真参数：信源比特速率为500kbps，多径相对时延为[0 4e-06 8e-06 1.2e-05]秒，相对平均功率为[0 -3 -6 -9]dB，最大多普勒频移为200Hz。(1. Based on simulink structures, QPSK sent a link, the Rayleigh fading channel after the QPSK modulation signal, were observed before and after signal after the decline of constellation diagram, observation channel characteristic. Simulation parameters: the source is 500 KBPS bit rate, relative multipath time delay of [0 8 e 4 e- 06-06 e-05] 1.2 seconds, the relative average power is [0-3-6-9] dB, most of the doppler frequency shift is 200 hz.)

在matlab环境下最近邻插值法、双线性插值法对图像进行放大和缩小。以及对图像加入噪声椒盐，高斯，乘性噪声。(The Matlab environment nearest neighbor interpolation, bilinear interpolation on the image to zoom in and out. And image noise added salt and pepper, Gaussian, multiplicative noise.)

empirical mode decomposition

16QAM调制的Matlab实现，能够计算出误码率，可修改调制阶数(16 qam modulation of Matlab to calculate the bit error rate.)

本书基于MATLAB 5.2版，本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(Based on the book version of MATLAB 5.2, this book suitable as a graduate student in science and engineering colleges and universities, undergraduate teaching book, but also vast numbers of scientific research can be used as engineering and technical personnel, self-learning book.)

用于主成分分析学习,非常强大，一学就会，分享了(for Principal component analysis )

Matlab 符号运算是通过集成在 Matlab 中的符号数学工具箱（Symbolic Math Toolbox） 来实现的。和别的工具箱有所不同，该工具箱不是基于矩阵的数值分析，而是使用字符串来 进行符号分析与运算。实际上，Matlab 中的符号数学工具箱是建立在 Maple 基础上的，当 进行 Matlab 符号运算时，它就请求 Maple 软件去计算并将结果返回给 Matlab。(Matlab symbolic operation is integrated in the Matlab Symbolic Math Toolbox (Symbolic Math Toolbox) to achieve. And different from other toolbox, the toolbox is not based on numerical analysis matrix, but use a string for symbolic analysis and calculation. In fact, Matlab' s Symbolic Math Toolbox is built based on Maple, Matlab symbolic computation to the time when it requests Maple software to calculate and return results to Matlab.)