face-recognition-matlab

说明：  出效果 图，大大提高工作学习效率，对于工程应用和图像处理教学方面有着非常好的辅助性作用，下阶段的任务就是把图像处理的主要技 术方法系统地用MATLAB 实现，从而建立起一套基于MATLAB 的图像处理试验平台，为相关行业的工作学习技术人员提供有效的 参考工具。 本文作者创新点：本文提出了基于MATLAB 的图像处理功能解决图像处理技术一系列理论方法的实现途径，为快速高效实现 图像处理各种效果提出了行之有效的解决方法。 参考文献： [1] 张博夫,梁凯琦.MATLAB 环境下的数字图像处理入门实验[J].现代教育技术,2007,6(2):37-39. [2] 胡学龙,许开宇.数字图像处理[M].北京:电子工业出版社,2006. [3] 何东健.数字图像处理[M].2 版.西安:西安电子科技大学出版社,2008. 李昕等：基于MATLAB 的数字图像处理 1981__ (Evaluation[J].IEEE Trans.On Pattern Analysis and Machine Intelligence,1998,20(8):777-788. [5] Candela G T, Gtother P J, Watson C I, et al. NISTIR 5467, PCASYSA Pattern-lever Classification Automation System for Fingerprints [R].1995. )

MATLAB_的两种基本绘图功能：二维平面图形和三维立体图形绘制(MATLAB_ two basic drawing functions: a two-dimensional plane graphics and three-dimensional graphics rendering)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

Dynamic Range Separate HE

matlab code for Peak Finder

艾肯特插值，高斯插值和牛顿插值法的matlab代码。上述三种方法均用于数值插值。(Ai Kente interpolation, the matlab code of the the Gaussian interpolation and the Newton interpolation law. The the above-mentioned three methods are used for the numerical interpolation.)

摄像机标定MATLAB程序包 不管新手老手都值得学习哦。(matlab calibration)

用于对matlab工具箱的介绍，讲述最优化工具箱的基本功能。(Matlab toolbox for the introduction, about the most basic functions of optimization toolbox.)

说明：  将粒子群算法与免疫结合，计算函数的优化极值。(The particle swarm optimization combined with the immune calculated extremal function optimization.)

对一段语音信号进行预处理，加窗，求过零率，短时能量，求各种语音信号的特征参数。(For a period of speech signal pre-processing, windowing, and zero-crossing rate, short-time energy, and all kinds of speech feature parameters.)