TestUseMatlab

与气象雷达有关的书籍，对初学者有很大的帮助。(With weather radar related books, a great help for beginners.)

动态称重代码便于大家重复劳动，请批评指正(WIM Code)

The MU-MIMO channel put forward by SAMURAI is based on the well established WINNER II GSCM [5]. We present an analysis of this model wrt its ability to model MU-MIMO channels correctly and propose some improvements to the original model. The model has also been implemented in C and will be used for further system level simulations.

利用matlab的GUI设计的图像二值化处理的可视化界面，包含所需的操作界面和m文件，可对图片进行导入、二值化处理及保存等操作。 (A visual interface of image binarization processing designed by Matlab GUI.It contains the desired interface and m file, you can import the picture, do binarization processing and preserve the new image.)

关于恶意代码检测和LTE网络，4G的LTE-A网络的外语文章(Foreign-language article about malicious code detection and lte network, lte-a network of 4g)

test test test test test test test (test test test test test test test)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

小程序，matlab编的，用于解常微分方程的问题(Small program, matlab compiled for the solution of ordinary differential equations of the problem)

meanshift object tracking

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)