Matlab

it is matlab code for compress the image

MATLAB小程序 可以试试 谢谢大家支持 多多帮助(MATLAB program can try a small)

图像编码的matlab代码，压缩文件内是matlab代码。(Matlab code for image coding)

使用matlab产生混沌时间序列的源代码(use Matlab chaotic time series generated source code)

说明：  手写英文字母识别:主要是基于mtlab的程序。对手写的大写字母进行识别(alphabet recognition)

说明：  simulink 搭建的rach信道及其接收端模块，用于rach信道和接收机仿真。(imulink erected rach channel and the receiver module, channel and receiver for rach Simulation.)

LMS+and+VSS_LMS算法，可在MATLAB7.0 以上的版本应用。(LMS and VSS_LMS CODE with MATLAB. The file include five sub_files.)

MATLAB GUI设计学习手记（第二版）源程序 第8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 8 of the 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.)

给出了用MATLAB语言实现功率谱估计的程序，压缩包内还有原理说明(Given by MATLAB language to achieve power spectrum estimation procedure, there is the principle of compressed packets that)

采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.(Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-making rules.)