Comb_type_OFDM

CSA 1directional for motion estimation

北斗导航定位二代协议解析，包括格式及解析代码。(Compass II protocol analysis, including formatting and parsing code.)

直线阵采用切比学夫加权控制主旁瓣比，采用的是脉冲对消法，通过虚拟阵元进行DOA估计，滤波求和方式实现宽带波束形成，可以广泛的应用于数据预测及数据分析,多抽样率信号处理。(Linear array using cut than learning laid upon the right control of the main sidelobe ratio, It uses a pulse of consumer law, Conducted through virtual array DOA estimation, Filtering summation way broadband beamforming, Can be widely used in data analysis and forecast data, Multirate signal processing.)

基于matlab的电力系统潮流计算程序，支持刚刚接触这个的学生(Matlab-based Power Flow Calculation Program, just contact the support of students)

本程序为计算股指期货动态对冲模型的MATLAB程序，能用于股指期货动态对冲(dynamic hedge)

Face Recognition System

license plate seg. using matlab

Finland Matlab cannot do regular meshes for non-regtancular regions. However, one can manually do very coarse regular meshes for these type domains. The difficulty is with the edge data e. If this data does not correspond to the orientations given by the PDEtool geometry files, refinement will not work. The function drawedges() will display the order of the edges and their segment numbers. However, this function does not tell how the edges are oriented. However, just run the visualization, and if the refinement does not work correctly, you know the problem is with the orientatino of the edge. Remember to also correct the last two rows of the matrix e when changing the orientation. (See the documentation for initmesh for more info.)

独立成分分析ICA利用MATLAB实现。可以运行，简单易懂，方便学习(Independent component analysis ICA using MATLAB implementation. You can run, easy to understand, easy to learn)

The uation of ventricular function is impor- tant for the diagnosis of cardiovascular diseases. It typically involves measurement of the left ventricular (LV) mass and LV cavity volume. Manual delineation of the myocardial contours is time-consuming and dependent on the subjective experience of the expert observer. In this paper, a multi-atlas method is proposed for cardiac magnetic resonance (MR) image segmentation. The proposed method is novel in two aspects