matlab

The recent development of a meshless method by using radial basis functions will be reported in this talk. Application to both multivariate interpolation and solving partial differential equations have demonstrated the spectral convergence of the method for some particular radial basis functions like multi quadric. This talk will also discuss some of the recent proposed techniques for solving the ill-conditioning problem resulted from solving the full resultant matrix.

说明：  matlab 功能工具 matlab 功能工具(matlab functions matlab function tool tool)

将RGB图像转化为网络安全色图像，可以减少一幅图像中色彩种类的使用(RGB images into color images for network security, you can reduce the use of color in an image types)

小波域相关法去噪的matlab源程序。空域相关滤波是基于小波系数尺度之间相关性原理，比较适用于高信噪比信号(The correlation of the wavelet domain denoising Matlab source. The spatial correlation filter is based on the principle of correlation between the wavelet coefficients of scale, more suitable for high SNR signal)

著名的ReliefF特征过滤算法源代码，可用于模式识别(The famous ReliefF feature filtering algorithm source code, can be used for pattern recognition)

very useful for inverter design in power electronics

混沌保密通信SIMULINK建模。自己作的很好的东西。(SIMULINK modeling of chaotic secure communication. Themselves for the good things.)

使用Matlab开发的设计凸轮的源程序，使用了向量法的设计方法。设计了一个正弦运动规律的凸轮，程序带有较完整的注释，对于初学凸轮设计的人来说应该是一个比较好的参考。(It s the source code of the design of a cam using matlab, which uses the method of vector.)

处理由采集卡采到的加速度传感器测得的信号，并分析其在0-1000Hz的频谱幅值并绘制频谱图(Processed by the acquisition card taken to the measured acceleration sensor signal, and to analyze the spectrum of the 0-1000Hz and draw the amplitude spectrum)

The aim of this paper is to describe a novel and completely automated technique for carotid artery (CA) recognition, far (distal) wall segmentation, and intima–media thickness (IMT) measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale–space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen–intima