[David_B_Davidson]_Computational_electromagnetics

支持向量机的MATLAB实现，能自动完成数据的分类功能。(MATLAB support vector machines to achieve, can auto-complete the classification of functional data.)

两层复杂网络Laplacian矩阵的构造与特征值分析(Multiple Network Laplacian Spectra)

The Finite-Difference Time-Domain Method (FDTD)

IIR filter synthesis algorithm with almost linear group delay

用matlab画了一个小动物，利用了plot，sina，cos等 函数(use Matlab drew a small animal )

一个扩展卡尔曼滤波的matlab程序,是个不错的学习例子(An extended Kalman filter matlab procedures, be a good learning example)

Ant System algorithm solving classical Traveling Salesman Problems

It describes about the mapping function in the PAM with constellation

pulse compression in RADAR for back scattering and Araay implementation

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.