dfproto

MATLAB GUI设计学习手记（第二版）源程序 第9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) source learning methods recommended in Chapter 9 of the book: 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.)

RS码的MATLAB实现,实现编码和译码(come true the rs)

几种分类器NB SVM　ＫＮＮ　效果不错　(Several classifier NB SVM KNN good results)

鼠标游戏仿真，可模拟鼠标在图像上游走的轨迹，对MATLAB代码进行示例。(Mouse game simulation, can simulate the mouse on the image migration trajectory of MATLAB code examples.)

Voice detection using zero crossing rate and STE

matlab中系统聚类法函数 用最短距离算法的系统聚类样本进行聚类(collectAnaly)

对雷达帧扫秒到的运动目标进行跟踪，并在MATLAB中进行仿真和验证(Frame on the radar sweep seconds to track moving objects, and carried out in the MATLAB simulation and verification)

本函数将完成对输入的二维信号进行多尺度离散小波分解(This function will complete the two-dimensional signal input multi-scale wavelet decomposition)

Sector Beam Generation Program for computing Phase distribution function and Radiation pattern

说明：  利用matlab编程进行参数检验，点估计，区间估计，以及非参数检验(Using matlab programming parameter testing, point estimation, interval estimation, as well as non-parametric test)