PhoneX_Enumerations_Guide

说明：  压缩包中包含两个matlab文件： remez_frf.m 为使用remez算法设计旁瓣1/f衰减滤波器程序； myfrf.m 为其中使用到的惩罚函数； frf的意思是频率响应函数。(Compression matlab package contains two files: remez_frf.m algorithm designed for the use of remez sidelobe 1/f attenuation filter procedures myfrf.m use for which the penalty function frf mean frequency response function.)

经验模式分解后如何将各个分量分解后的结果显示在图片上(empirical mode decomposition how various components of the decomposition results in the pictures)

深度图像遮挡边缘检测，平均曲率法，Matlab 7.0开发(Depth of the image edge detection block, the average curvature, Matlab 7.0 development)

这个Matlab程序包，展示了Monte Carlo方法的基本原理，并把它应用到金融行业，展示一种方差缩减的技巧。(The Matlab package, shows the basic principle of Monte Carlo method, and apply it to the financial industry, demonstrate a variance reduction technique.)

HOMER(Hybrid Optimization Model for Electric Renewable，可再生能源互补发电优化建模)。HOMER是一个计算机模型，它简化了离网和并网对于远程的、独立的和分布式发电系统的评估选择的任务。HOMER优化和灵敏度分析算法，可以用来评估系统的经济性和技术选择的可行性，以及考虑技术成本的变化和能源资源的可用性。(HOMER (Hybrid Optimization Model for Electric Renewable, renewable energy and solar power generation optimization modeling). HOMER is a computer model that simplifies the task of off-grid and grid for remote, stand-alone and distributed generation systems to assess choice. HOMER optimization and sensitivity analysis algorithms can be used to select the feasibility of economic and technical assessment of the system, and to consider changes in the availability of technology costs and energy resources.)

说明：  用六种算子(分别是gabor、拉普拉斯、priwitt、robert、sobel、wallis),对三种图象进行边缘检测比较(Six operators (Gabor, Laplacian, priwitt, Robert, Sobel and Wallis) are used to detect and compare the edge of three kinds of images)

Matlab基本指令大全，入门必会指令！(Matlab basic commands Daquan, entry will be instructed!)

反应扩散方程中布鲁塞尔子的模拟~反应扩散方程中布鲁塞尔子的模拟~(Reaction-diffusion equations in Brussels analog sub ~ reaction-diffusion equations in the sub-analog ~ Brussels)

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)

说明：  BT法估计功率谱，由自相关函数来估计信号的功率谱(BT power spectrum estimation, by the autocorrelation function to estimate the signal power spectrum)