danxiangguangfu

Image processing program..8-connectivity matlab code...as per the text book by Gonzaloues....

多边形网格相交区域搜索,MATLAB源程序，含有若干示例(Polygon mesh intersection area search, MATLAB source, contains a number of examples)

逐步回归分析，挺好用，你值得拥有，别人给的资料(Stepwise regression analysis)

粒子群算法的matlab程序，包括结合神经网络(Particle Swarm matlab procedures, including the combination of neural network)

labwindows/CVI的虚拟仪器设计(电子版) 本书详细地介绍了应用当前信号分析与处理新技术来设计不同测量功能的虚拟仪器的工作原理和方法。内容包括虚拟仪器设计的方法和步骤，I/O接口设备的软件驱动，LabWindows/CVI与MATLAB语言的接口，以及基于自相关伪随机系统辨识、神经网络、小波变换、模糊理论等技术虚拟仪器设计的方法和技巧。 本书内容新颖丰富、论述简洁，提供了大量典型的实例。本书可作为大专院校教科书，也可作为工程技术人员和科技工作者学习设计虚拟仪器的自学用书。(labwindows/CVI virtual instrument design (electronic version) the book details on the application current signal analysis and processing technology to design new measurement functions of different virtual machines, the principle and method. Including virtual instrument design methods and steps, I/O interface of the software-driven equipment, LabWindows/CVI and MATLAB language interface, Based on the correlation of pseudo-random system identification, neural network, wavelet transform, Fuzzy theory virtual instrument technology design methods and techniques. The contents are rich novel, concise exposition, a large number of typical examples. This book tertiary textbooks can also be used as engineering and technical workers should study the design of virtual instrument self-learning bo)

《计算物理基础》是北师大彭老师写的，对学习用matlab解决物理问题很有帮助(this is a book about Computational Physics used matlab,the author is Mr peng and come from Beijing Normal University)

CGI Developers Guide

计算在N维空间中，两条线之间的最短距离，N可以是3或者3以上的任何数值(Calculated in N-dimensional space, the shortest distance between two lines, N could be any of 3 or more values 3)

This book is about signal processing, which includes processes for synthesizing, transforming, and analyzing signals. It focuses on sound signals, but the same methods apply to other signals, like electronic signals and mechanical vibration.

经过调试的svm分类程序，很好用，对初学者很有帮助。(After commissioning of the svm classification procedures, useful, useful for beginners.)