19Chapitre1_Introduction

matlab 源文件，核构建算法，经典算法(matlab source files, nuclear build algorithm, the classic algorithm)

用MATLAB对给定信号做短时傅里叶分析 用MATLAB对给定信号做短时傅里叶分析(Using MATLAB for a given signal the short time Fourier analysis Using MATLAB for a given signal the short time Fourier analysis)

基于人工神经网络的常用数字信号调制，最终的权值矩阵就是滤波器的系数，matlab开发工具箱中的支持向量机。( The commonly used digital signal modulation based on artificial neural network, The final weight matrix is ??the filter coefficient, matlab development toolbox support vector machine.)

将采用训练函数 traingdx 和“提前停止”相结合的方法来训练 BP 网络，以提高 BP 网络的推广能力(Will use the training function traingdx and " stop ahead" a combination of methods to train BP network to improve the generalization ability of BP network)

说明：  基于matlab实现卡尔曼滤波。卡尔曼滤波是递推自适应滤波的一种有效方法。(Kalman filter based on the realization of matlab. Recursive adaptive Kalman filter is an effective method for filtering.)

基于MATALAB的RS码的误码率分析程序，说明经过RS编码后误码率明显降低(Based on the RS codes MATALAB BER analysis program, shows that, after RS ​ ​ coding error rate was significantly lower after)

计算核密度估计的一个程序，内置多种函数。可以修改原始数据。(Computing kernel density estimation program built many functions. You can modify the original data.)

用MATLAB仿真DTMF,分为生成和检测两个部分(use MATLAB to simulate the DTMF including generation and detection)

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)

说明：  实现bp-pid的仿真,基于s函数实现神经网络pid的仿真(Implement bp-pid simulation)