Matlab_data_types_and_structural_analysis

游需求分析婶予促进我目各地区的经济发展和文化交流都有着重要的意叉。由于旅游行业的。小样本，膏信息，不确定”性， 旅游市场可以看做是一个巨大的灰色系统。皋文竹对旅游需求同题进行了详细的研完，提出了基于灰色表镜理论的多元数学预测模型GM (1，N)．合理分析诸多因素对旅游需求的综合影响，可以很好的解决此奏问题。同时。以北京地区旅游需求发展为倒，根据北京市旅游局平 的历年旅游统计数据，确定影响游客人数的因素并对其合理量化，应用GM(1，N)模型对最地的旅游需求进行预潮．井通过残盖检验，后戎 差检验手方法对谊模型进行分析．得到的攮测结晨比较准磅，未模型应用范田广泛，可以进行推广使用。(Travel demand analysis aunt I promote my head the region s economic development and cultural exchange has an important meaning fork. As the tourism industry. Small sample, paste the information, uncertain "sex, Tourism market can be seen as a huge gray system. Gao asparagus tourism demand with the title for a detailed study finished, put forward the theory based on gray table mirror multivariate mathematical prediction model GM (1, N). Rational analysis of factors combined effects of tourism demand, can solve this problem outs. Simultaneously. Development of regional tourism demand in Beijing is an inverted, according to the Beijing Municipal Tourism Bureau level Calendar year tourism statistics to determine the factors that affect the number of visitors and their reasonably quantified, the application of GM (1, N) model of the tourism demand for the most pre-cuts. Well residue cover through test after Rong Poor test methods friendship hand model for analysis. Nang get more accurat)

说明：  Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。(Face recognition via PCA and SVM method)

matlab code for Plot data with error bars on both x and y axes

This programe hides secret data inside a carrier file using LSB technique. This is example of Steganography

Arduino hx711库文件，在编写程序省去很大力气，很好用的头文件，大力推荐(Arduino hx711 library files, eliminating the need to write programs in a lot of effort, a good use of header files, strongly recommended)

Finger Print Code By Matlab

matlab在信号处理中傅里叶变换的应用，大家可以参考一下(matlab Fourier transform in signal processing applications, we can refer to)

说明：  kalman滤波，扩展的kalman滤波（EKF），unscented Kalman filter（UKF），基于EKF和UKF混合模型的IMM实现，以及配套的Rauch-Tung-Striebel和two-filter平滑工具，一个很好用的框架(kalman filtering, extended kalman filter (EKF), unscented Kalman filter (UKF), based on the EKF and UKF realize mixed-model IMM as well as ancillary Rauch-Tung-Striebel and two-filter smoothing tool, a very good framework to use)

谱系聚类发 给定聚类点数可得到聚类中心 很好很强大(Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers)

Blind Sources Separation code