matlab-Genetic-Algorithms

经典的张正友的摄像机的两步标定程序，包括单目标定和立体标定程序。代码是基于matlab(Zhengyou Zhang classic two-step camera calibration procedures, including single-target and three-dimensional calibration procedures. Code is based on matlab)

matlab code for acrobat

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)

非线性滤波框架（nef）,包括了 EKF,UKF,DDF1 DDF2,CDF,迭代滤波器,随机积分滤波器, 组合滤波器, 集合卡尔曼滤波, 高斯和滤波，粒子滤波，自回归最小二乘方法(nonlinear estimation framework (NEF) toolbox A. Implemeted local estimation techniques： a1. (extended) Kalman filter a2. Unscented Kalman filter a3. Divided difference filter 1st order a4. Central difference filter a5. Divided difference filter 2nd order a6. Iteration filter a7. Stochastic Integration Filter B. Implemeted global estimation techniques b1. Ensemble Kalman filter b2. Gaussian sum filter b3. Particle filter)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

对二阶被控对象实现直接自适应模糊控制器设计与仿真(Implementation of the Second accused of objects Direct Adaptive Fuzzy Controller Design and Simulation)

最速下降法和牛顿法，希望对你们管用，两种方法实现最优化(matlab progress newton)

Half wave rectifier simulation for beginner

goertzel算法解码DTMF信号程序(algorithm for decoding DTMF signals goertzel program)

Commande floue de la MSAP