matlab

基于SOM算法实现的文本聚类，有详细的剖析与例证，希望大家喜欢(SOM-based text clustering algorithm, has a detailed analysis and examples, I hope everyone likes)

this code extract the ellipse from noisy image by morphology method

模糊综合评判计算程序 模糊综合评判的过程：1、灰色关联分析，求权重（程序见Relation）；2、模糊聚类分析，划分等级（程序见F_class）；3、隶属度计算，求隶属函数（程序见Subjection和subject）；4、模糊综合评判，计算各单元等级（程序见F_judge）。(Fuzzy comprehensive evaluation matlab code The process of fuzzy comprehensive evaluation: 1. Grey relational analysis to get weight (see Relation for program); 2. Fuzzy clustering analysis to divide ranks (see F_class for program); 3. Membership degree calculation to get membership function (see Subjection and subject for program); 4. Fuzzy comprehensive evaluation to calculate each unit grade (see F_judge for program).)

Algorithm PLL for inverter dc-AC

dpcm matlab code in zip format

说明：  数学处理工具，凸优化理论在通信领域非常重要。(It is Mathematical processing tools, convex optimization theory is very importantin communications.)

神经网络的实例 ，用于图象的处理和模式识别(examples of neural networks for image processing and pattern recognition)

Crisfield nonlinear Analysis

基于matlab编制的newmark结构动力分析(Matlab prepared based on the Newmark Structural Dynamic Analysis)

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.)