Time-domain-smoothing

有用的MATLAB图像处理程序，希望对您有帮助(useful MATLAB image-processing program, and I hope to have your help!)

this is the matlab dat file signals

cor(r)生成半径为r的极坐标矩阵，矩阵大小为（2r+1）*（2r+1）(COR (r) generating matrix of the polar coordinates whose radius is r , the matrix size (2r+1)* (2r+1))

matlab功能入门，适合初学者在短时间对于matlab有简单的了解。(Matlab function introduction, suitable for beginners to matlab in a short time there are simple to understand. )

5扩32 扩频方法仿真 进行SNR估计 产生pn码 基带仿真(5 extended to 32 spread-spectrum method is estimated SNR simulation)

说明：  这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。(This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model.)

wimax-mimo技术的仿真希望大家看看(wimax-mimo simulation technology)

OMP算法的本质思想是：以贪婪迭代的方法选择D的列，使得在每次迭代的过程中所选择的列与当前冗余向量最大程度的相关，从原始信号向量中减去相关部分并反复迭代，只到迭代次数达到稀疏度K，停止迭代。(OMP compressed sensing )

介绍了一种可在较短时间内检测到数字电视国标系统工作模式的方法。该方法利用帧头PN序列和PN序列扩展保护部 分的相关特性、循环特性以及0FDM信号部分的周期特性进行判决，可达到很好的检测效果，该方法同时可加入跟踪模块对系统 工作模式的突然改变作出反应。还介绍了两种可以在硬件资源和性能上进行折中的检测方法(Describes a method can be detected in a relatively short period of time to a digital television GB system working mode. The method utilizes the correlation characteristics of the the header PN sequence and the PN sequence extension protective portion, the cycle characteristics of the cycle the characteristics and 0FDM signal portion judgment can achieve good detection results, the method at the same time tracking module may be added to the system working mode sudden change the response. Also describes two hardware resources and performance compromise detection method)

运用Matlab6.5实现跳频通信系统中跳频信号的时频分析(Matlab6.5 use of frequency hopping communication system to achieve frequency hopping signals in time-frequency analysis)