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说明：  这个是利用图像分解和Logistics混沌序列可以对图像先进行加密然后进行隐藏在另一个图像中再进行解密(This is the use of image decomposition and Logistics chaotic sequence can be encrypted on the image first and then proceed to hide in another image and then decrypt)

数字信号处理，卷积，输入端算法输出端算法2合1，matlab函数编程(Digital signal processing, convolution, the output of the input algorithm algorithm 2 in 1, matlab functional programming)

Solving the LP problem using Simplex method

自动控制原理中应用仿真软件对系统的频率响应和稳定性的研究(The application of the principle of automatic control system simulation software, the frequency response and stability study)

GAMP SMS User Guide for SMS Gateway Source Code Installation

说明：  超宽带无线电基础配套matlab代码，相当不错的。(Ultra-wideband radio infrastructure to matlab code)

基于COM的MATLAB与CNET混合编程的实现与应用(COM-based MATLAB and CNET Implementation and Application of Hybrid Programming)

使用此函数来提取一个地理坐标输入字符串了。该功能非常灵活，因此，协调可能位于任何地方的字符串，并可能有许多的格式之一。(Use this function to extract one geographical coordinate out of an input string. The function is extremely flexible, thus the coordinate may be located anywhere in the string and may have one of many formats.)

matlab上课课件，《MATLAB程序设计教程》电子教案。第一章到第十三章全(matlab class courseware, " MATLAB Programming Guide" electronic lesson plans. The first chapter to chapter XIII full)

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)