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The paper concludes with an implementation of linear prediction using two different types of signal. It is hoped that the balance between theory and practical will allow the reader for easy assimilation of this technique

说明：  Lorentz-Drude and Drude model for the dielectric constant of metals 使用Lorentz-Drude和Drude模型计算金属材料介电常数(Lorentz-Drude and Drude model for the dielectric constant of metals using the Lorentz-Drude and Drude model of metal dielectric constant)

最速下降法 功能比较简单 附有输入参数的说明 程序的运行结果说明 可读性强 适合初学者(The steepest descent method function is relatively simple series of)

NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。 (NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)

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基于负熵最大化的fastICA，matlab程序。程序中的公式在所附带的pdf文件中都高亮标明(Based on negative entropy maximization fastICA, matlab program. The formula in the program attached pdf file are highlighted marked)

计算方法典型例题。对和式进行计算，保留指定的有效数字位数，使用Matlab语言；二分法求解方程；高斯消去法。 (Use Matlab Language to calculate the sum form and present the given number of significant digits half- separation method to solve nonlinear equations gaussian elimination method)

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。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。

说明：  数据整理，数据和标签和样本数量之间的匹配，当然也可以用其他方法，仅供参考(Data collation, matching between data and label and sample quantity, of course, other methods can be used, for reference only)

说明：  在matlab环境下理想比较器的simulink建模(In an ideal environment matlab simulink model comparator)