CICfilterSim

交通分布中的无约束重力模型，matlab程序(A matlab program of unconstrained gravity model in traffic distribution.)

函数HistBackground功能是将高速公路的视频文件中的多帧图片利用统计直方图的方法提取不含运动车辆的背景，(Function HistBackground function is to freeway video files of images using statistical histogram to extract the background without moving vehicles,)

数值分析中的插值拟合和规划问题的matlab算法源代码，有需要的可以下载，希望能帮到大家。(Numerical analysis and planning of the interpolation problem fitting algorithm matlab source code can be downloaded in need, I hope to help you.)

Matlab下读取avi视频文件并进行基于邻帧差法的视频目标运动检测(in matlab,reading avi video detect motion in base of the adjacent frame difference method)

Walsh method of analysis

说明：  偏定向相干算法的matlab程序，部分定向相干，分析相干性因果性(Matlab program of partial directional coherence algorithm, analysis of coherence causality)

为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小(In order to obtain more accurate estimates of the location of a data fusion-based positioning solver algorithm is studied in the simulated annealing algorithm with the classical Taylor series expansion method and Chan' s algorithms performance comparison based on simulated annealing algorithm with the above-mentioned two kinds of classical solution calculate the location of the Combination, by constructing a multi-algorithm co-location model, and model design based on the location of the fusion algorithm, the traditional location solver algorithm is proposed to improve a position based on data fusion solver algorithm. Simulation results show that the positioning accuracy of better than fusion fusion algorithm and the computation of non-small)

关于图像压缩的一个源码，可以实现图像压缩，希望对你有所帮助。(A source of image compression, image compression, and I hope for your help.)

This is a Simple program to illustrate the working of Cognitive radio

一本关于SAR成像的书籍且包含SAR成像的matlab代码，非常值得学习(A book about SAR imaging, and the resources contain SAR imaging matlab code, which is worth learning.)