GUIMATLABVIDEO

余向阳博士Matlab教程的源代码。 包括：1.非线性方程的解法；2.线性方程的数值解法；3插值法；4.常微分方程的解法(Dr. Yu Xiangyang Tutorial Matlab source code. Include: 1. Non-linear equations 2. The numerical solution of linear equations 3 interpolation 4. The solution of ordinary differential equations)

说明：  该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated)

一个利用Matlab仿真计算微带贴片天线底馈的程序(The use of Matlab simulation of a microstrip patch antenna fed at the end of the procedure)

认知无线电系统中，瑞利信道条件下的能量检测算法实现的频谱感知方法。(Cognitive radio systems, Rayleigh channel conditions energy detection method for spectrum sensing algorithm.)

该代码主要实现了OVTDM(时域重叠复用系统)的仿真，包含脉冲成型、匹配滤波，白化滤波，改进的viterbi译码等。(This code is mainly to simulate the OVTDM system.)

此文件为 在matlab中rgb2gray的方式(way of rgb2gray in matlab)

function varargout = fuzzytool1(varargin)

采用reed-muller码降低ofdm的par方法(used reed-cup code to reduce the par method ofdm)

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

this is a simple Genetic Algorithm (GA) testing the optimal solution for a simple function.