Djuric---PF

在Matlab中可以使用的波特图的例子源码，直接打开即可。(Source codes of Bode Plot in Matlab.)

针对样本协方差矩阵求逆方法中采样点小于阵元个数时作出的仿真。此改进方法可以在采样点小于阵元个数时提高波束形成器的性能。(For the sample covariance matrix inversion method of sampling is less than the number of array elements made the simulation. This improved method can be sampled at less than the number of array elements to raise the beamformer performance.)

关于混沌时间序列的论文，matlab 在研究非线性混沌中的应用，和非线性参数的意识任务分类(The study of chaotic time series, MATLAB in the study of nonlinear chaos in the application, and the nonlinear parameters of the mental task classification )

《模式分析的核方法》一书中的源代码，其中有该书的基本介绍和talk！()

张正友的关于相机标定的经典文章 提出了张正友标定法 可供初学者学习(Zhang Zhengyou' s classic article on the camera calibration proposed calibration method for beginners to learn Zhang Zhengyou)

运用matlab编写DNN程序，带有几个实例，有BP神经网络，relu，sigmod等~(Using matlab to write DNN program, with several examples, such as BP neural network, relu, sigmod, etc.~)

LQR controller to deal with the train problem

Computing an Exact Gaussian Scale-space 介绍了一种图像去模糊算法 保护论文和源代码 用c 编写(Computing an Exact Gaussian Scale-space introduce a debulrring algorithm, including a source C code)

说明：  心电信号远程监测系统的研究与设计.pdf(ecg sysytem design)

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)