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matlab实现：高斯消元法，LU分解法，迭代法，奇异值分解，乔累斯基分解法，gauss迭代解线性方程组，jacobi迭代解线性方程组(matlab implementation: Gauss elimination, LU decomposition, iterative methods, singular value decomposition, Cholesky decomposition, gauss iterative solution of linear equations, jacobi iterative solution of linear equations)

主要用matlab产生C/A码，并且捕获到信号，输出捕获结果和相位起始位置，而且可以实现对信号的跟踪，输出跟踪偏差和偏差震荡曲线，是一个很好很完整的GPS软件仿真的参考程序.(Mainly used matlab generated C/A code and capture the signal, and outputs the results of the capture phase starting position, but also can realize the tracking signal, output tracking error and error shock curve, is a very good simulation of the complete GPS software reference program.)

此为《MATLAB教程》的第六章：数据分析和统计。该书内容翔实，深入浅出，不可多得。(This is the MATLAB Guide Chapter VI: Data analysis and statistics. Book is informative, easy, hard to come by.)

This function extract a binary image gray scale image using auto-tuned threshold value obtained the correlation of Image euler numbers. This work had been published in L.P Wong, H.T Ewe. A Study of Lung Cancer Detection using Chest X-ray Images. 3rd APT Telemedicine Workshop 2005, 27-28th January 2005, Kuala Lumpur, Malaysia. Pages 210-214.

为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion，是衡量统计模型拟合优良性的一种标准，又由于它为日本统计学家赤池弘次创立和发展的，因此又称赤池信息量准则。它建立在熵的概念基础上，可以权衡所估计模型的复杂度和此模型拟合数据的优良性。 在一般的情况下，AIC可以表示为： AIC=2k-2ln(L) 其中：k是参数的数量，L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数，RSS为剩余平方和，那么AIC变为： AIC=2k+nln(RSS/n) 增加自由参数的数目提高了拟合的优良性，AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)

This file helps the various wireless projects

it is mat lab coding used for image segmentation........................

自己写的一个psolssvm程序 要有lssvm工具箱才可以运行(Write a psolssvm procedures to have lssvm the toolbox before you can run)

说明：  将分类识别的结果用混淆矩阵的形式表现出来(The results of classification and recognition are expressed in the form of confusion matrix)

Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM.