circhift.m

Software Testing Research_Achievements, Challenges, Dreams

tan function to sin and cosine

matlab神经网络工具箱很好的东东分享下(matlab neural network toolbox, under a good Dongdong Share)

Matlab Coce for PCA 3

OSG中怎样创建多视图，利用OSG+Win32 console application实现。(make multiply views in osg)

kohonen网络的聚类算法—网络入侵聚类(Case 29 kohonen network clustering algorithm- Network Intrusion clustering)

Implementation of Digital predistortion in simulink using Saleh Memoryless Non-linearity and Least Squares method. I modified inbuilt OFDM block with Raised cosine block

阿鲁发行可理解和空间哈空间和康皇客家健康双方的空间上看到合肥看见谁的罚款速度快解放看见爱上的合法看见(Aru understandable and spatial distribution of space and Kang Huang Ha Hakka healthy to see both sides of the room to see who is a fine of Hefei, quick to see the liberation of the legitimate love to see)

说明：  本程序用矩阵实现有限差分算法，本程序求解第一类边界条件下无源矩形金属槽电位分布，计算电磁学。(A simple code for finite difference method.)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)