matlab-Imagechange

说明：  ldpc码在cdma中应用，matlab实现(cdma ldpc code in the application and realization of Matlab)

matlab学习很好的书籍，可以全面学习基本用法，数据处理和图形显示。书籍讲解比较全面(The matlab Learning good books, can fully learn the basic usage, data processing and graphics display. More comprehensive books explain)

关于混沌时间序列预测的一些论文资料,有pdf和caj格式。(Some papers about the prediction of chaotic time series.)

汽车振动自由度模型，汽车振动数学模型，k1f 前轮胎刚度 k1r 后轮胎刚度 mf前轮质量 mr后轮质量 kf前悬架刚度 kr后悬架刚度 cf前悬架阻尼 cr 后悬架阻尼 k 座椅刚度 c座椅阻尼 θ汽车俯仰角 m0汽车悬挂整体质量 m座椅质量 (Vibrational degrees of freedom vehicle model, mathematical model of vehicle vibration)

Matlab model for linear discrete model with unlimited storage of Information Management Network (IMN)

使用蚁群算法进行TSP问题的求解，画出了初始城市分布，蚁群算法求得的路线图。(Using the Ant Colony Algorithm to solve the problem of Traveling Salesman Path.The initial distribution of the cities is presented.And the path for the salesman can be seen clearly from the figure.)

ebook for learning latex

LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often located far from the sensor network, through which the end-user can access the data.

1.duishuzhengtai：产生对数正态分布 2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2 3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗） 4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024 5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量 6.tfenbu：本函数产生自由度为m，数据量为n的t分布。 7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布(1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution)

this code computes 2 signal convalve value signals are manual inputs