肤色分割的matlab源代码

这是一本全面介绍MATLAB建模与仿真的书籍，很难找的，在学校图书馆找到的，赶紧下(This is a comprehensive introduction to modeling and simulation of MATLAB books, hard to find in the school library to find and quickly under)

MATLAB 下的模式识别特征提取 用于对特征信号的提取(MATLAB under the feature extraction for pattern recognition features of the signal extraction)

this is a book about CT.

鉴于载波相位观测量可提供高精度定位信息的特点,分析了在高动态环境获得载波相位观测量的三种可 能方法,对三种方法的估计精度和动态跟踪能力进行了比较. 提出了一种适合GPS 系统的高动态环境载波相位 测量方案.(View of the carrier phase measurements can provide accurate location information, analyzes the dynamic environment in the high carrier phase measurements to obtain three possible methods, three methods of estimation accuracy and dynamic tracking ability was compared. Presents a GPS system for high dynamic carrier phase measurement program.)

C2三次样条插值． ＭＡＴＬＡＢ源程序(C2 cubic spline interpolation. MATLAB source code)

radar code it is for phase memo radar which use to detect anymies and increae beam width and efficiency

matlab实用教程，适合于初学者实用，文件较小，下载方便(course，basic)

In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification is made by KNN

基于顺势无功功率理论的无功电流和谐波电流检测，这里是两个，交流侧电流中的谐波电流是相同的。用来滤除电路中的无功功率。(Based on the theory of homeopathy reactive power reactive current and harmonic current detection (p, q op mode and ip, iq op mode))

该matlab代码实现了“综合多分支分裂式层次化聚类” (Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC) “A competitive omnibus performance criterion for divisive multi-branching hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package is implemented in Matlab code and therefore demands the Matlab core program, as well as the Statistics toolbox of Matlab. Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the identification of sub-structures in multivariate data. Of particular interest is multi-branching DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly explored issue in multi-branching DHC concerns the actual importance of the two performance criteria (and their associated algorithms) to automatically create clusters and select number of clusters, respectively. Another interesting but hitherto unexplored issue is the possibility to employ a single omnibus performance criterion that guide)