ridgelet

Local Standard Deviation Max used for Image enhancement

移动机器人matlab仿真程序，很好用的，可以学习学习。(Mobile robot matlab simulation program, the good, you can learn.)

sep and leach routing protocols in wireless sensor networks is a typical routing protocol

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)

Newton插值，matlab经典例程,数学建模必备(Newton interpolation, matlab classic routines, mathematical modeling necessary)

model of brusslesh dc moter

说明：  本程序一维数据的EM算法实现，稍作修改就可以成为多维数据的EM算法实现。(EM algorithm for one-dimensional data of the program implementation, minor modifications can become the cube of the EM algorithm.)

用matlab程序计算脉冲激光速率方程，求解光子数、反转数、饱和吸收数随时间的变化关系(solve laser pulse equation)

klaman滤波算法的matlab编程,主要用于gps定位,具有非常好的参考价值,运行通过(klaman filtering algorithm Matlab programming, mainly for the gps positioning, very good value, running through)

This paper is based on artificial neural network. artifivial neural network is a patter recognition mechanism that resembles the human brain. It have input layers, hidden layers and output layers. ANN provides beter recognition accuracy than other classifiers.