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说明：  这是个关于图像区域增长分割算法的源程序，在matlab上实现(This is a region growing image segmentation algorithm on the source, to achieve in matlab)

典型模拟通信系统仿真 增量调制 PST编码 FSK 汉明码(communication system modulation)

Fast Transversal RLS Algorithms with examples using matlab

非参贝叶斯字典学习用于图像去噪的matlab代码(BPFA denoising matlab code for the paper nonparametric bayesian dictionary learning for analysis of noisy and incomplete images download http://www.ee.duke/~mzl/Results/BPFAImage/.)

upf滤波算法源程序，另包含EKF、UKF，PF算法源程序(UPF source filtering algorithm, and the other contains the EKF, UKF, PF algorithm source code)

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)

说明：  processing and database for sar images

用基本粒子群算法来解决优化问题，本程序给出的是测试函数，根据需要可以自行更改适应度函数。(Using particle swarm optimization algorithm to solve the problem, this program is given a test function, you can change the fitness function according to their needs.)

svm的源程序，很简单的程序，易懂，非常实用(svm)

Wavelet neural network time series prediction of short-term traffic flow forecasting