blind3sub

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)

带有时滞的DMC算法，可以修改参数，包括传递函数，优化时域，控制时域等等(DMC algorithm with Delay)

Erlang distribution how to calculate erlang b and erlang c

matlab混合编程的官方经典教程，适合中高级用户使用(Mixed matlab programming tutorial official classic, suitable for high users)

matlab 的基本操作书籍，对初学matlab很有用，很值得推荐(The basic operation matlab books, matlab very useful for beginners, it is worth recommending)

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A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems

This m file shows constellation for MQAM.

fractal compression of fractalized image