system

this is a example about matlab and VC

用matlab做的多元线形回归预测的小程序，抱愧数据，可以运行。(using Matlab do multiple linear regression forecast a small procedure, feel ashamed of data, can run.)

MODERN CONTROL SYSTEM THEORY AND DESIGN TOOLBOX，带有matlab仿真例子，学习控制的很有借鉴意义(MODERN CONTROL SYSTEM THEORY AND DESIGN TOOLBOX, with matlab simulation example, the study of referential significance to the control of)

基于图像内容的检索，文献及其相关代码，2012年的会议CVPR(Image content-based retrieval, literature, and their associated code, 2012 meeting CVPR)

II滤波器的chebyshev滤波器的C语言程序设计。(II Filter chebyshev filter C Programming Language.)

Experimental Verification of Neuro-fuzzy VECTOR CONTROL WIND DFIG

its a child puzzle fig....see it and try to deduce the code in matlab

BOC信号调制的源码，及BPSK产生信号的源码(BOC signal modulation of the source, and the BPSK signal source generating)

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)

面向Matlab工具箱的神经网络理论与应用,搞图像的要看。(Matlab toolbox for neural network theory and applications, engaging look at the image.)