重力异常正演

DA_Eyes detection matlab code

说明：  无线传感器网络时间同步算法案例及matlab仿真(Case Study of Time Synchronization Algorithms in Wireless Sensor Networks)

Rayleigh信道仿真程序，有多普勒加单径和多径信道的仿真模型(Rayleigh channel simulation program)

这是我做的关于ICA和KICA的matlab程序，其中的算法速度很快，用ORL库做的实验(This is what I do on the ICA and the Matlab kernel procedures, which the algorithm very rapidly. ORL used to do the experiment)

详细介绍了matlab中的ODE函数求解偏微分方程组的各种方法，附带示例，适合初学者学习。(Details of the ODE function matlab various methods for solving partial differential equations, with examples, for beginners to learn.)

DMC程序，利用MATLAB仿真的，供大家研究。(DMC procedure, the use of MATLAB simulation for the U.S. study.)

finite difference demo code

李雅普诺夫指数的验证，只要进行变换器分岔混沌的研究(vertify Lyapouve exponent)

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)

使用MATLAB程序编写的压缩感知的几种重构算法，是调试完整的几个比较好的程序，包括OMP算法，IAjSvZ程序，CoSaMP，NpgCHMa构造等，包含了现在各种构造函数。 (Using MATLAB programming several reconstruction algorithm compression perceived, is commissioning complete a few good programs, including OMP algorithm, IAjSvZ program, CoSaMP,NpgCHMa structure, etc., and now includes a variety of constructors. )