rayleigh_Filter_Model

包含了多个雷达信号产生的程序，其中有线性调频信号，编码信号，等等(Contains multiple radar signals generated by the program, which chirp signal encoded signals, etc.)

相控阵技术广泛应用于雷达、导航、声呐等领域，该文件为matlab及HFSS对相控阵的仿真，很经典(Phased array technology is widely used in radar, navigation, sonar and other fields, the file is matlab and HFSS simulation for phased array, classic)

用于基于matlab的小波分析（去噪，重构，低频高频分解），对小波的分析具有十分重要的作用。(Based on matlab wavelet analysis (denoising, refactoring, low frequency high frequency decomposition), and the wavelet analysis plays an important role.)

利用牛顿多项式插值法观察多项式的龙格现象。(Newton polynomial interpolation polynomial Runge phenomenon observed.)

SVM classifier in matlab

采用最小二乘原理，进行了伪距单点定位计算；包含广播星历计算计算卫星坐标，地固系与WGS84坐标系间转换，最小二乘平差计算，定位几何因子GDOP等(Using least square method, we carried out pseudorange single point positioning calculation contains satellite ephemeris calculation calculate coordinates secured between the system and the WGS84 coordinate system conversion, least squares adjustment calculation, location and other geometric factor GDOP)

本文对鲁棒控制基准设计问题倒立摆控制进行了 仿真研究(In this paper, robust control design problems in the baseline control of inverted pendulum simulation)

共轭梯度法matlab源程序 很好很强大 快来下载 快来啊(gongetidufa)

一些典型的ＭＡＴＬＡＢ程序 用于图像处理 都在机子上实现过(typical MATLAB for image processing procedures are realized on the loom)

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)