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im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 -Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
KLTLMS
- Karhunen Loeve Least Mean Square Algorithm for mobile communications 3G
Tracker
- 关于跟踪领域相当有名的均值平移的改进算法 效果还不错 直接用VC就可以跑起来。源码相当清楚-The field on the track quite well-known mean shift algorithm to improve the effectiveness of the direct use of well can run up on the VC. Source is quite clear
New
- mehod of interpolation by bilinear,bicubic method, local histrogram,root mean square error,image negative
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
image-segmentation-mean-shift
- 一个对图片进行处理的小程序（MATLAB）-a small program to deal with pictures
adaptivefilters
- thes source codes implements Adaptive filters. Adaptive mean filter, Contra Harmonic Mean filter, Harmonic Mean Filter, Geometric Mean Filter and Spatial Filtering.
testnlm
- non local mean filter-non local mean filter
toolbox_nlmeans
- non local mean algorithm toolboc-non local mean algorithm toolboc
timing
- 在这篇论文中，我们提出一种新的时间偏移估计方法应用于OFDM系统。这里提出的估计是为了避免发生在Schmidl中的时间偏移估计方法中的歧义。通过仿真，所提出方案中的性能以均值和最小均方误差的形式说明。仿真结果表明：它与其它估计器相比在相当大的程度上有更小的均方误差。-In this paper, we propose a new time offset estimation method is applied to OFDM systems. Estimates presented here t
meanshift
- 用mfc编写的mean-shift算法，和重心跟踪算法，可以处理动态目标的跟踪，效果甚佳。-Mfc prepared using mean-shift algorithm, and the focus of the tracking algorithm can handle dynamic target tracking, the effect is very good.
CsharpEdison
- 基于均值漂移（mean shift)算法的图像分割程序，可用于图像特征提取，图像识别等。参考文献：Comaniciu(2002) Mean shift- a robust approach toward feature space analysis.pdf-image segment algorithm based on mean shift, reference Comaniciu(2002) Mean shift- a robust approach toward feature spa
lms1
- 智能天线方向图——波束形成最小均方(LMS)算法-Smart antenna pattern- beam forming least mean square (LMS) algorithm
contraharmonic
- this file contains the implementation of the "contraharmonic filter" using the basic formula of finding contraharmonic mean achieved through the use of for loops. contraharmonic filter can remove both -SALT n PEPPER noise from the image but not sim
arithmetic_filter
- the given file contains the implementation of the ARITHMETIC FILTER using two methods. 1.based on the mathematical concept of arithmetic mean realised using for loops. 2.using imfilt -built-in function of matlab.this function makes use of the con
geo_har
- this file contains the implementation of : 1.geometric filter-using the basic for loops to obtain geometric mean. 2.harmonic filter-using the basic for loops to obtain harmonic mean. 3.positive order contraharmonic filter for the removal of par
matlb_test_MeanShift
- 均值漂移聚类的源程序,用mean shift 进行聚类，以及绘图显示，很有价值-mean shift based clustering code, using matlab
kmeanmatlab
- k-mean program INPUT A Matrix or dataset K Number of clusters to find (optional default: 2) MAXIT maximum number of iterations (optional default: 50) INIT Labels for initialisation, or rand : take at random K objects as initial means,
kmeans1
- K-mean image segementation Choose cluster centers and point-cluster allocations to minimize error
test_kMeansCluster.m
- K mean cluster matlab code