factor_analysis

《MATLAB应用图像处理》主编徐飞、施晓红，西安电子科技大学出版。用MATLAB来处理数字图像。(" MATLAB application of image processing," editor in chief Xu Fei, SHI Xiao-hong, Xi' an Electronic Science and Technology University Press. To use MATLAB to deal with digital images.)

说明：  matlab中运用Simpson求积时的求积函数，可以有效解决这类问题。(matlab use Simpson quadrature quadrature at the time of function, can effectively solve all these problems.)

在matlab中，rbf模糊神经网络的程序(In matlab, rbf neural network program)

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.)

改进的多目标粒子群算法，包括多个测试函数 对程序中的部分参数进行修改将更好地求解某些函数 程序中的所有代码都是本人根据多目标粒子群算法设计实现的(ZDT1NP=cell(1,50) ZDT1FV=cell(1,50) ZDT1T=zeros(1,50) )

Transfer Function of PID controller is given in detailed Form.And the Matlab Implementation also avialable.Help ful for Control Engineers and Technologists.

用matlab做的最小二乘法外推多项式拟合卫星周跳，可以学习。(Using matlab to do the least squares polynomial fitting extrapolation satellite cycle slips, you can learn.)

最优化方法 HookeJeeve 和Powell算法 matlab 程序 简单例子(Optimization method and the Powell algorithm matlab program HookeJeeve simple example)

Dragon Forth (DF) is a powerful tool for creating applications for Palm OS of any complexity. The name Forth means fully compatibility with ANS 94 standard.

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)