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matlab 实现的单纯形法，将问题建模，按要求输入后可以得到最优解，适合于所有线性规划问题(simplex method written in matlab)

基于感知器算法的线性分类程序，matlab实现。(Perceptron-based algorithm of linear classification procedures, matlab realize.)

modesim 的仿真测试文件，Matlab文件，需要自己设置部分参数(modesim simulation test file, Matlab file, need to set some parameters)

windows gui wrapper for fb

Vsfm to Matlab by Bashar Alsadik 05 Feb 2014 Vsfm to Matlab

多抽样率信号处理，最大似然（ML）准则和最大后验概率（MAP）准则，一种噪声辅助数据分析方法,考虑雨衰 阴影 和多径影响，鲁棒性好，性能优越，使用大量的有限元法求解偏微分方程。( Multirate signal processing, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, A noise auxiliary data analysis method, Consider shadow rain attenuation and multipath effects Robustness, superior performance, Using a large number of finite element method to solve partial differential equations.)

说明：  基于matlab平台使用贪婪算法最终实现多智能体覆盖问题(Multi agent coverage problem using greedy algorithm)

《MATLAB7.x数字信号处理》源代码。本书面向信号处理领域，在简要介绍信号处理基本概念的基础上，详细介绍了MATLAB工具箱函数及其使用，内容涵盖了MATLAB使用基础、高级编程和重要领域的应用。在结构安排上，本书立足于信号处理各个具体领域，并结合信息处理工具箱，以大量的程序访真为依托，讲解了MATLAB在信号处理中的具体应用。 本书结构合理，内容全面，图文并茂，实例丰富，适用面广，适合信号处理、自动控制、机械电子、自动化、电力电气、通信工程等专业的本科生、研究生、教师和科技工作者阅读。可作为数学信号处理课程的参考书，对涉及数字信号处理的各大院校师生具有重要的参考价值和实用价值。("MATLAB7.x digital signal processing" source code. Writing to the field of signal processing, signal processing briefly introduced the basic concepts on the basis of Details on MATLAB toolbox function and its use, which covers the use of MATLAB basis, Advanced Programming and important fields. Structural arrangements, the book based on the signal processing specific areas, and integrate information processing toolbox a large number of the procedures for the visit to really rely on the MATLAB on signal processing in the specific application. The structure reasonable, comprehensive and illustrated examples of rich, widespread applicability, suitable for signal processing, automatic control, machinery and electronics, automation, electrical power, telecommunications and other profes)

For an AR(p) model that has been fitted with ARFIT, [Aerr,werr]=ARCONF(A,C,w,th) computes the margins of error Aerr and werr such that (A +/- Aerr) and (w +/- werr) are approximate 95 confidence intervals for the elements of the coefficient matrix A and for the components of the intercept vector w. The input arguments of ARCONF are output of AR.

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)