hechengdizhenjilu

Split PML 2D TE FDTD

cli basic the function for all the switch and routers

relative intensity with frequency in semicounductor

单基地MIMO雷达的DOA估计，使用的是MUSIC算法，并且和CRB进行了对比，生成图片(Monostatic MIMO radar DOA estimation using MUSIC algorithm, and were compared and CRB generated image)

学习matlab必备，非常有效，希望大家下载(Matlab essential learning, very effective, I hope you download)

FIR滤波器的频域采样源程序.m文件和频域采样后的理论图形。 附：IIR滤波器的相关设计源程序，可参考学习，并且，各程序里都有详细说明(FIR filter in the frequency domain sampling source. M files and frequency domain sampling theory of graphics. Attachment: IIR filter design source code, refer to the study, and each program has a detailed description of)

2天线空时码 多天线分集接收技术 本科论文资料(2 multi-antenna space-time code receiver antenna diversity information technology undergraduate thesis)

SegyMAT is a set of m-files that aims to ease importing and exporting SEG-Y files from Matlab. SegyMAT aims to: completely support SEG-Y revision 1 be easy to use in other projects be compileable using the Matlab Compiler be a Swiss Army knife dealing with the SEG-Y format in Matlab. SegyMAT is not lightning fast. SegyMAT makes heavy use of ’structures’. Unfortunately structures are not very effective in terms of speed in Matlab. (Or they have not been implemented very effectively in SegyMAT). However structures make the implementation and maintainance easier, and the code (hopefully) easy to read. That said, some effort has been made to optimize SegyMAT for speed. The latest version of SegyMAT is always available from Sourceforge : http://segymat.sourceforge.net/.

基于K均值的PSO聚类算法,用于图像处理的独立分量分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( K-means clustering algorithm based on the PSO, Independent component analysis for image processing, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

说明：  利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积(The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classification features calculated for each share of area)