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双线性增广拉格朗日系数算法，可用于图像运动分割，是运动结构算法的预处理算法，可用于恢复物体三维结构。(Augmented Lagrangian coefficient bilinear algorithm can be used for image motion segmentation, campaign structure preprocessing algorithm is the algorithm can be used to restore the three-dimensional structure of objects.)

Bayes model averaging with selection of regressors - This program can be utilized for Bayesian Variable Selection using Gibbs Sampler(Bayes model averaging with selection of regressors- This program can be utilized for Bayesian Variable Selection using Gibbs Sampler)

uwb中无多径awgn信道接收机的调制与相关掩模的仿真(uwb receiver channel modulation)

有关多采样率转换问题，本文介绍了多采样率转换的MATLAB实现以及基础理论。(Multi-sample-rate conversion on the issue, this paper introduce a number of sample-rate conversion of MATLAB as well as realize the basis of the theory.)

基于压缩感知(应用匹配追踪算法)处理二维信号(MP2D compressed sensing using mp)

this is a matlab file that can convert the XYZ color space to Lab color space.

随机信号分析，包括随机信号的数字特征，相关函数和协方差，带图形显示。(Random signal analysis, including the number of characteristics of random signals, correlation functions and covariance, with graphical display.)

SIAM s Advances in Design and Control series consists of texts and monographs dealing with all areas of design and control and their applications. Topics of interest include shape optimization, multidisciplinary design, trajectory optimization, feedback, and optimal control. The series focuses on the mathematical and computational aspects of engineering design and control that are usable in a wide variety of scientific and engineering disciplines.

针对雷达组网的实际情况,通过对影响雷达网数据融合处理的几个关键问题进行分析,给出解决这些问题 的方法,通过仿真和实际雷达数据的实验,取得了好的效果。可应用于实际雷达网的数据融合工作中。 (Some key problems of radar network data fusion are analysised. A few practical methods solving these problems are presented for radar network. Basing on simulation and actual radar data, it is shown that the proposed methods are effective. These technologies can be used for actual application. )

m语言编程，详细介绍m语言的基本知识以及高级应用(m programming language, details the basics of the language m and advanced applications)