QUDAINMATLAB

使用经验模式分解算法的论文集与源码包，包括了最新的EMD工具箱及其使用手册，是一套可以直接应用的软件(The use of empirical mode decomposition algorithm for a collection of essays and source packages, including the latest EMD toolbox and how to use manual is a set of software that can be applied directly)

瑞利衰落信道仿真,基于Matlab的瑞利衰落信道仿真程序序源代码，还可以用C++来进行编程，已通过测试。 (Rayleigh fading channel simulation, has been tested Matlab Rayleigh fading channel simulation program sequence source code, you can also C++ programming.)

数字加网有调幅和调频两大类，而这是一个0度调幅加网。(The digital screening two major categories of AM and FM, which is a 0 AM screening.)

仿真实现了十三位巴克码进行脉内调相。很好的程序，亲自优化过。(Thirteen Barker codes are simulated for intra-pulse phase modulation. Good procedures, personally optimized.)

particle filter example using matlab

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)

This a two dimensional level set code where the interface grows with normal speed equal -curvature. The code generates a movie showing the interface motion with and explicit first order in time algorithm with center differencing in space.

fuzzy damn in matlab

时域矩量法，基于显示时间步进算法 EMOT的子函数(Time-domain moment method, time stepping algorithm based on the display of the Functions EMOT)

In the fields of computer vision and image analysis, the Harris-affine region detector belongs to the category of feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas.