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说明：  image processing and noise models

Wireless two ray model, exact and estimate assumtion.

高阶谱估计被开发出来，一直为人们所关注，只要信号和噪声中有一种是高斯分布，则累量的运用非常方便解决问题！(Higher order spectral estimation have been developed, has been a continuing concern, as long as there is a signal and the noise is Gaussian distribution, the cumulative amount of use is very easy to solve the problem!)

Implements the traditional benchmark formulation used in optimization literature

DMC仿真程序,用MATLAB写的，m文件，直接运行就行。(Dynamic Matrix Control)

通过前期统计的数字，直接求马尔科夫链的转移矩阵，很经典(The Markoff transfer matrix )

十分好的，数值优化工具箱，可以用来解决L1优化问题(numerical optimization toolbox)

This code implements a variety of ways to solve sparse constraint solution

我们导师编写的802.15.3A程序，相对IEEE的程序做了相当大的简化，很值得参考(We tutor prepared 802.15.3a procedure, the relative IEEE procedures to do a considerable simplification, it is worth considering)

首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼(First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally using integral projection technology to pinpoint the human eye)