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matlab教程(matlab tutorial)

说明：  实现遗传算法的matlab仿真，并对原始的遗传算法做了改进(Genetic Algorithm)

遗传算法的优化，对系统参数进行最优控制，找出满足要求的最优解。(Genetic algorithm optimization, optimal control system parameters to find the optimal solution to meet the requirements.)

自适应Kalman滤波仿真,一个自使用滤波的简单例子，便于初学者理解和学习(Adaptive Kalman filter simulation, a self-filtering using a simple example, easy for beginners to understand and learn)

课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， MDOMxw梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，ZMGGiit二阶粒子群算法等等。 (Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, MDOMxw gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization, ZMGGiit second-order particle swarm optimization and so on. )

art算法进行图像重建，属于matlab代码，可直接调用(art image reconstruction algorithm, which belongs to matlab code can be called directly)

近场声全息学习程序，适合没有基础或少量基础的研究者学习或解决NAH问题。(Nearfield Acoustic Holographic Learning Programs and Examples)

sift算子的matlab和vs2008的混合编程(The hybrid programming of matlab and vs2008 for the descriptor of sift)

content based classification code

ecma-368 ultra wide band ber test5