matlabhanshu2003

说明：  matlab处理音频信号显示音频信号的频谱图，然后滤波，并对滤波前后音频信号的频谱图进行对比，接着对原始音频信号的频谱去掉若干个点与远视音频信号的频谱比较，最后对音频信号的频谱及相位进行三维显示(audio signal processing matlab)

这些MATLAB函数分别为数字图像处理Matlab版，由冈萨雷斯著作的，补充和扩展MATLAB的图像处理功能和图像处理工具箱提供MathWorks。(These MATLAB functions were created for the book Digital Image Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Prentice Hall, 2004, ISBN 0130085197. The functions supplement and extend the image processing functionality of MATLAB and the Image Processing Toolbox, both offered by The MathWorks.)

用matlab做图像处理的代码，主要是用函数处理图像(Image processing code)

一本关于龚纯编辑的数学建模MATLAB应用的书，很实用的，不过不是很清晰(Gong edited a book on mathematical modeling of pure MATLAB application book, very practical, but not very clear)

Article for use in porwer systems implemented in Matlab

Powell是一种非常稳健的非线性最优化算法（当然，整个求解过程中需要一些辅助的技巧，否则可能达不到“稳健”标准）。(Powell is very usefull )

对图形进行边缘检测并输出边缘点和该点所在处的灰度变化率。(edge detection and output the edge point and its corresponding gradient.)

该程序用于整列信号处理的谱估计的谱峰搜索，如MUISC算法(The program for the entire column signal processing spectral estimation spectrum peak search, such as MUISC algorithm)

星座SAR动目标检测，包括原始背景面目标模拟，运动点目标模拟，数据合成与配准，星座SAR动目标检测算法(Constellation SAR moving target detection, including the original background surface raw data simulation, moving point target simulation, data synthesis and registration, constellation SAR moving target detection algorithm)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)