58567857OFDM-GI

异步电机起动仿真程序（abc坐标系下）两个文件要放在一个文件夹下运行(asynchronous start program)

初步学习采样和重建信号。包括源程序和报告书。(Preliminary study of sampling and reconstruction of the signal. Including the source and report.)

uwb无线电基础代码，第八章，超宽带信道与接收机，共四个程序。(based on UWB radio code, Chapter VIII, ultra-wideband channel with the receiver, a total of four procedures.)

说明：  基于MATLAB的FM调制课程设计与源程序(MATLAB-based curriculum design of the FM modulation and source)

data from IEEE distribution system

利用CFD软件，采用雷诺应力模型分别计算了300型和250型水力旋流除砂器的内流 场，得到了2种水力旋流除砂器的轴向、径向、切向速度及压强的分布曲线。通过对所得结果的 分析，发现模拟结果基本符合旋流除砂器的运行规律。比较2种旋流除砂器的内流场，表明改进 的300型水力旋流除砂器的结构及分离能力优于原来250型水力旋流除砂器，为水力旋流除砂器 的优化设计和选型提供了可靠的设计依据。(use CFD software, Reynolds stress model used to calculate the respective 300-and 250-type sander hydrocyclones the flow field, been two kinds of hydrocyclones sander axial, radial and tangential velocity and pressure in the distribution curve. Based on the results of the analysis, the simulation results are consistent with the Cyclone sander operating rules. Comparing two kinds of Cyclone sander within the flow field, show improved 300 Desanding Hydrocyclones the structure and separation capacity than the original 250-hydrocyclone sander, Desanding Hydrocyclones for the optimum design and selection provided a reliable basis for the design.)

简单的matlab gui图片文字显示程序(Simple matlab gui text image display program)

一个非常实用且能进行模糊综合评判的matlab程序(A very practical and can be fuzzy comprehensive evaluation of the matlab program)

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)

Wang mendel fuzzy model paper