jisuanqi4

本程序由一对m序列优选对模二加生成一组平衡GOLD序列码，用于对直扩系统仿真之中，通过改变第二个m序列的初始状态可以生成不同的GOLD序列码(The program consists of a pair of m sequence optimization of mode two and generate a set of balanced GOLD sequence codes for DSSS system simulation, by changing the initial state of second m sequences can generate GOLD sequence code different)

用传输矩阵法解一维光子晶体能带，透过率，以及群速度方向问题，概念清晰，自己编写的，应该比较容易看懂。(the transmission matrix method for one-dimensional photonic crystal, whose parameters are from the paper "negative refraction in one dimensional photonic crystal without negative refractive index material" IJMOT, 2010,5(4))

PCNN量化，利用人眼视觉特性对图像进行量化，保持细节信息。(PCNN quantified using the human visual system to quantify the image, keeping details.)

电机硅钢片的B-H磁化曲线在matlab中的拟合，可以在求解非线性问题时，提高计算精度(BH magnetization curve fitting silicon steel motor in matlab can in solving nonlinear problems, improve accuracy)

matlab实现信息论实验，一般信道容量迭代算法实验，绘制二元熵函数曲线实验等。(matlab experimental realization of information theory, iterative algorithm for general channel capacity test, drawing binary entropy function curve experiments.)

高斯消元法LU分解龙贝格OLS等matlab程序(Gaussian elimination LU decomposition matlab procedures, such as Romberg OLS)

离散小波变换的一个程序，希望对大家有所帮助。(Discrete wavelet transform a program, we want to help.)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

centralize algorithm in matlab

直线运动的目标跟踪，用matlab语言实现，并且实现了GUI功能。(Linear motion of the target tracking with matlab language, and to achieve the GUI functionality.)