matlab-code-for-wimax

本程序基于约瑟夫森结的RSJ模型，对无微波辐照和微波辐照下约瑟夫森结的特性进行了数值计算求解，其中有微波辐照的RSJ模型求解采用了四阶龙格库塔方程函数，两种情况都给出了I-V特性曲线图（程序包中也附带），展现了量子化电压台阶。(This procedure based on the RSJ Josephson junction model, no microwave radiation and microwave radiation characteristics of Josephson junction has been calculated solving, in which microwave radiation has the RSJ model for solving a fourth-order Runge-Kutta equation function In either case, they are given IV characteristic curve chart (also included with the package), demonstrating the quantum level of voltage.)

钢管问题。最优话模型求解。易拉罐，最优采购！(matlab pipe problem. If solving the optimal model. Cans, the best purchase!)

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.

bean recog -gui red , green and black color only M file

增量调制解调，miller编码解码，hamming编码解码，PSK调制解调，AWGN(Delta modulation and demodulation, Miller encoding and decoding, Hamming encoding and decoding, PSK modulation and demodulation, AWGN)

说明：  matlab上的EMD经验模态分解的源代码(matlab on the EMD EMD source code)

支持向量机的一些代码合计，本人学习是使用，为matlab学习者提供帮助(SVM some code together, I am learning is used to help learners matlab )

基于MATLAB的遗传算法解决TSP问题的程序(MATLAB-based genetic algorithm to solve TSP problems procedures)

Often we are interested to see how the adaptation of the coeffi cients works or how the error behaves over time. Therefore we need the function [y,e,c]=lms2(x,d,N,mu) which provides us more output arguments

用MATLAB实现的离散系统灰色PID位置跟中系统(MATLAB implementation of the discrete-time systems with PID position with the system of gray)