Slam3D1

本程序基于matlab 遗传算法的源程序代码，遗传算法是应用于各种优化问题的典型算法，有很高的参考价值。(procedures based on the Matlab genetic algorithm source code, the genetic algorithm is applied in a variety of typical optimization algorithm, a high reference value.)

图像处理，集合了图像处理的各种方面的信息，可以实现读取，增强，去噪，复原等功能。(Image processing, collection of information on various aspects of image processing, can achieve to read, enhance, de-noising, recovery and other functions.)

用Matlab实现Hash算法下大篇幅文本文件中字符出现的频率的统计！非常精炼！(Hash algorithm used Matlab to achieve great length text file in the frequency character of the statistics! Very refined!)

generating C/A code of GPS

realizacion de benchmarking a aguas residuales

对传统结构进行改进。能运行，自抗扰技术 滑膜变结构(Improve the traditional structure. Energy-operated, self-interference-resistant technology)

说明：  MATLAB智能算法30个案例分析,本书采用案例形式，以智能算法为主线，讲解了遗传算法鱼群算法等。(Analysis of 30 Cases of Intelligent Algorithms in MATLAB.This book uses the case form, takes the intelligent algorithm as the main line, explains the genetic algorithm fish swarm algorithm and so on.)

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

CHAPTER 1- real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954

binary phase shift keying SNR Vs BER