segmentation

说明：  matlab中的关于优化问题实验方面的例子和程序(matlab optimization problems in the experiments on the examples and procedures)

把hdf数据读入execl，是图形界面，用matlab2010开发，打开hdfchuli.m文件即可执行。(Hdf data read into execl, graphical interface, matlab2010 development, open hdfchuli.m file can be executed.)

包含轴承故障数据，来源于MFPT（Machinery Failure Prevent Technology）论坛，分四组训练数据和测试数据； 数据可直接做频谱分析，效果很好(contain bearing faults data sets, 4 train datas and 4 test datas, can be used for FFT/envespectrum analysis, and you will get perfect effects.)

*** Losided Iteration (A= P^T) ****

ahp的matlab程序，输入矩阵即可使用(ahp matlab program, you can use the input matrix)

说明：  完成语音分帧，加窗，线性预测和基音周期提取等功能(Complete voice framing, windowing, linear prediction and gene features such as cycle extraction)

提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.(Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method.)

模态分析，获得采样数据的固有频率、各阶振型，阻尼比等，(Modal analysis, the natural frequency of the sampling data, each vibration mode damping ratio)

face recognition is done here for a dataset by sequence of series of images and weak classifiers are trained to get back strong classifier

水文分析中干旱指标spi的计算代码，可计算多时间尺度的指标，黏贴成m文件即可，文件内有注释描述。(Spi hydrological drought index analysis of the calculation code, and calculate multi-time scale of the index, you can paste into the m file, file comments within the description.)