netdude-0.4.7.tar

此代码是求TSP中群蚁问题的全代码，只需对其中的数据进行适当的调整就可以套用(This code is a group of ants seeking TSP problem in the whole code, only the data on which appropriate adjustments can be applied)

线性调频雷达的程序计算。对于初学者来说，可以看看。希望有所帮助。(for this function. if needed,you are welcomed to download it.)

希尔伯特-黄变换，用于非线性非平稳信号分析(Hilbert- Huang Transform for nonlinear and non-stationary signal analysis)

it is a Gaussian Mixture Model(MATLAB version) for training and testing with some list or file. and it has references in enclosed rar file

matlab 文件，用于学习m文件，解释m文件的编写及用法，及注意事项(matlab documentation, for learning m paper explaining the preparation of the document m and usage, and Cautions)

matlab官网的时钟程序，请大家欣赏，资源共享(the clock programme used the matlab,it is wonderful ,thanks)

对控制装置及仪表的控制系统进行仿真，并给出性能分析(Control devices and instrumentation control system simulation and performance analysis is given )

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)

对周期性信号进行循环谱估计，非常实用的代码！！(Cycle of the periodic signal spectrum estimation, a very useful code! !)

dijksira算法求最短路的MATLAB代码(MATLAB code dijksira algorithm for the shortest of)