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说明：  本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(Based on MATLAB 5.2 version of the book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, multi-working platform powerful, user-friendly, natural and open strong language of large outstanding applications, but also have become domestic institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic application of control theory and engineering courses of basic teaching tool. Logically organized book, from beginning to end with an example description content of each chapter is relatively complete and independent MATLAB is a concise reference book, both for beginners or advanced MATLAB users.)

Base-band signal generation usin matlab

独立分量分析中的时域预测代码 matlab格式 希望有用 (independent component analysis of time-domain code forecast hope Matlab format useful)

Genetic Programming MATLAB Toolbox 遗传算法程序很好(Genetic Programming MATLAB Toolbox GA- good order)

to find the transform of images using log transform, negative transformation technique and power transformation..

c++必备：c++ primer、clean code、effective c++(c++ primer、clean code、effective c++)

Unlike infrastructure based wireless networks, nodes in mobile ad hoc networks (MANETs) will also have to act as intermediate nodes for data routing. These additional transmissions will further drain the power resources of mobile nodes which are anyway likely to be running on limited battery power. This paper proposes a Power-Aware Ad hoc On-demand Distance Vector routing protocol (PAW-AODV) for such power limited applications. This uses the overall power resources of the system more efficiently than the standard AODV protocol by choosing routes based on a power-based cost function. We implement our proposed PAW-AODV protocol by suitably modifying AODV and study it through simulations using QUALNET.

主成分分析法将图像分为低秩部分和稀疏部分(Principal Component Analysis (PCA) divides images into low rank and sparse parts)

说明：  基于matlab的图像LSB隐密程序，含丰富附件(LSB based image matlab secret process, is rich in Annex)

分解结构振动模态,识别模态参数，将多自由度振动分解为若干单自由度振动的叠加(structural mode decomposition)