模糊综合评判方法

《MATLAB有限元分析与应用》(德国)(P.l.Kattan)卡坦：采用当今在工程和工程教育方面非常流行的数学软件MATLAB,对有限元分析进行数值实现。书中既包含了MATLAB的简单介绍,又详述了有限元方法的系统性处理策略,并提供了大量取自机械工程、土木工程、航空航天工程或材料科学的示例和习题,非常适合相关专业的学生和研究人员使用。《MATLAB有限元分析与应用》特别强调对MATLAB的交互应用,书中的每个示例都以交互的方式求解,有利于读者切实提高有限元的分析和应用能力。以上代码为本书源代码。 ("MATLAB finite element analysis and application" (Germany) (PlKattan) Catan: using today s engineering and engineering education in the popular mathematical software MATLAB, the finite element analysis numerical implementation. The book not only contains a brief introduction to MATLAB, and the finite element method described systematic processing strategy, and provides a large number from the mechanical engineering, civil engineering, aerospace engineering or materials science examples and exercises, ideal for relevant professional Students and researchers. "MATLAB finite element analysis and application of"special emphasis on the MATLAB interactive applications, each of the examples in the book the way to solve the interaction is conducive to the reader effectively improve the finite element analysis and application. Source code for the book above. )

动态神经网络时间序列预测研究-基于MATLAB的NARX实现(Artificial Neural Networks)

these m-files are used to link HYSYS with MATLAB...

说明：  续SIMULINK，很实用的一本书，搭建模型介绍详细，多多学习(Continued SIMULINK, very practical book, build model introduced in detail, a lot of learning)

Classification of an LTI system by type of damping and design solution of a system of first and second order, entering the transfer function or system parameters

AUTOMATIC BAUD RATE DETECTION FOR STANDARD BAUD RATES

基于wrelax多路径高分辨时延估计算法的MATLAB编程实现(MATLAB programming implementation of wrelax-based multi-path high resolution time delay estimation algorithm)

cordic算法实现特征值分解，非常实用，代码可以作为参考(cordic eigenvalue decomposition algorithm, very practical, code can be used as a reference)

说明：  clc; clear all; close all; [filename, pathname, filterindex] = uigetfile({'*.jpg;*.tif;*.png;*.gif','All Image Files';... '*.*','All Files' }, '选择待处理图像', ... 'images\01.jpg'); file = fullfile(pathname, filename);%文件路径和文件名创建合成完整文件名 id = Get_Id(file);%得到file中的所有对象 Img = imread(file);%根据路径和文件名读取图片到Img [Plate, bw, Loc] = Pre_Process(Img); % 车牌区域预处理 result = Plate_Process(Plate, id); % 车牌区域二值化处理 % 寻找连续有文字的块，若长度大于某阈值，则认为该块有两个字符组成，需要分割 bw = Segmation(result); words = Main_Process(bw); % 主流程处理 Write_Mask(words, id); % 写出到模板库 str = Pattern_Recognition(words); % 识别(Mike is a student. He is my good friend. He is busy at the weekend. He is going to read a magazine this Saturday morning. He is going to go to the zoo this Saturday afternoon. He is going to buy a book this Sunday morning. He is going to learn Kungfu this Sunday afternoon. He is going to watch TV this Sunday evening.)

Comparison of the performances of the LS and the MMSE channel estimators