edgedemo

该程序利用matlab语言主要实现（7，3）线性分组码的译码，并提取信息码(The program achieved using matlab language major (7,3) linear block code decoding, and extracting information codes)

掌握Matlab的流程控制语句，掌握循环结构。 初步学习Matlab的脚本文件、函数文件编写。 初步掌握Matlab脚本文件、函数文件的调试.初步掌握用户参数的交互输入。 (Matlab master process control statements, control loop structure. Matlab script file preliminary study, the function document preparation. Initial grasp of Matlab script file, the file' s debugging function. Initial grasp of the user interactive input parameters.)

利用matlab实现三角波的生成及频谱分析。(Matlab triangle wave generation and spectrum analysis.)

Fibonacci m file in matlab

antenna patterns using matlab codes

针对实际工业生产中常见的多输入多输出时滞过程, 构造多变量Smith预估控制结构, 提出基于对象模 型伴随矩阵的解耦器设计方法. 通过对解耦后对象的幅频和相频特性分析, 获得对象的简化一阶数学模型. 根 据Smith预估控制结构闭环特征方程的特点, 利用Butterworth滤波器极点配置的原理, 对解耦后的多变量时滞过程 设计PI控制器. 结合实际过程中常见的不确定性, 分析了控制系统保证鲁棒稳定性的充要条件. 最后以实例验证了 本文所提方法的优越性.(The decoupling Smith control method is presented for multi-input-multi-output system with time-delays which are often encountered in practical engineering. A new method for designing the decoupler based on the adjoint matrix of the multivariable system model with time-delays is proposed. By analyzing the amplitude-frequency and phasefrequency characteristics of the decoupled model, the decoupled model is reduced to a first-order model with time-delay. According to the closed-loop characteristic equation of Smith predictor structure, a PI controller is developed by using the principle of pole assignment for Butterworth filter. Sufficient and necessary conditions for robust stability are derived for adaptive and multiplicative uncertainties commonly occurred in practice. Simulation results show the superiority of the proposed method.)

Menu driven GUI for creating many graph types(Menu driven GUI for creating many graph typ es)

小波去噪，包括各种小波变换，去噪效果好，保证可用。 (Wavelet denoising, including wavelet transforms, denoising effect, guarantee available.)

for fiber focus ratio degradation

此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)