QTDBL

Calculation of Chang E III whereabouts time

目标检测matlab代码，实现检测目标目标检测matlab代码，实现检测目标(Target detection matlab code to achieve test objectives)

ID3算法的matlab实现，包含了具体的软件界面的设计(ID3 algorithm matlab, contains a specific software design below)

基于matlab的OFDM 方案的DVB-T实现，对系统实现给予详细描述，并附带相应代码(OFDM Simulation Using Matlab)

这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类(This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering)

RSSI网络边界节点定位问题程序，有一定的参考价值(edge point location using rssi)

元胞自动机 NaSch模型及其MATLAB代码(Cellular automata NaSch model and its MATLAB code)

随机产生序列u(n),计算自相关系数并且计算功率谱密度(Randomly generated sequence u (n), calculated from the correlation coefficient and calculate the power spectral density)

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)

It is a files related to basic programes of MATLAB