Constrained-optimization-problem

ostbc的仿真,可实现各种收发方式的仿真,不过不能出图(ostbc simulation, can send and receive all kinds of ways to achieve the simulation, although not the map)

基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)

说明：  Power factor of wind turbine

PCA监控程序,即主元分析 ( Principal Component Analysis ， PCA ),这是用MATLAB编写的PCA监控程序(PCA monitoring program)

文章介绍了我们常用的预测方法中的回归分析方法的显著性检验的相关知识(Knowledge of the significance test article describes our prediction method of regression analysis method)

ofdm implementation using 16-Qam

一种视频读取方法，并将avi视频从8位无符号数转变为双精度，再转变为张量(a video read method,changing it from uint8 to double then to tensor)

MATLAB GUI设计学习手记（第二版）源程序 第7章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition) Chapter 7 book recommended source learning methods: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

用于正交试验求极差 可做m文件用 只要根据图中输入数字便可生成结果(Use of orthogonal test to find the difference)

The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations. 3. Convolve each image in the Gaussian pyramid with each orientation filter. 4. Combine the results of step 3 to create the Feature Map. 5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1]) to cluster candidate text regions together. 6. Create final output image with text in white pixels against a plain black background.