oldmdl

MATLAB GUI设计学习手记（第二版）源程序 第1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 Chapter 1 book recommended 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.)

菲涅尔衍射积分的 S FFT算法。理解用S FFT算法完成菲涅尔积分原理，特别是确定观察面尺寸的原理及相应公式的来源。(The Fresnel diffraction integral S- FFT algorithm.Understand complete Fresnel integral principle with S- FFT algorithm, especially the observation surface size of the source of the principle and the corresponding formula.)

sita ir mans kd par matricam

说明：  经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。(The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered)

用MATLAB仿真DTMF,分为生成和检测两个部分(use MATLAB to simulate the DTMF including generation and detection)

PLS算法的实现以及对TE过程的预测效果(PLS Algorithm implementation and prediction of TE process)

This program simultes the BER performance with a single and multiple users

说明：  ldpc码在cdma中应用，matlab实现(cdma ldpc code in the application and realization of Matlab)

good example of rao-blackwellised paritical filters

energy efficiency computation when wireless body area sensor node communicates to the coordinator through wireless link in the presence of a relay node when the distance is varied