matlabcommand

this is a tutorial to help you in development of gui using MATLAB

A PI controller for the single-phase grid-connected photovoltaic system has been proposed in this simulation. the proposed system consists of maximum power point tracker (MPPT) controller and PI current controller only. The proposed MPPT controller generates current reference directly the solar array power information and the current controller uses PI technique for the tight regulation of current

本源代码首先实现普通的直方图均衡化，再实现灰度级之间的均匀分布，可以有效的解决直方图均衡化过程中的灰度断层现象。使得图像更加的柔和，直方图分布更均匀。(Source code first to achieve common histogram equalization, and then to achieve uniform distribution between gray levels can be an effective solution in the process of histogram equalization, gray fault phenomenon. Makes the image more of the soft histogram more evenly distributed.)

A 2D-3D CORRESPONDENCE METHOD USING SIFT DESCRIPTOR

线性调频信号/chirp脉冲压缩的三种实现方式(matched filter implementation for chirp)

递推最小二乘法(RLS)及基于F-Test的模型阶次辨识，也是系统识别课上的实验。本文件包括matlab源代码以及实验报告，适合学生~(Recursive least squares (RLS) and based on F-Test of the model order identification. This document includes matlab source code and test reports for students ~)

matlab最优算法程序汇编以及相关常用的程序代码(Matlab the optimal algorithm program compilation and related common code)

floyd算法主要用于最小生成树，最短路径，把散点输进去，就可以生成最短路径(loyd algorithm is mainly used for minimum spanning tree, shortest path, the scatter lost in, you can generate the shortest path)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

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