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战场最新源代码大家一起研究一下。看看还有什么不对的地方进行最新的描述(大家一起研究一下。看看还有什么不对的地方进行最新的描述)

The MU-MIMO channel put forward by SAMURAI is based on the well established WINNER II GSCM [5]. We present an analysis of this model wrt its ability to model MU-MIMO channels correctly and propose some improvements to the original model. The model has also been implemented in C and will be used for further system level simulations.

本程序实现了matlab与VC++的混合编程。主要实现了基本的matlab处理的一些功能。但方法比较重要，很有用处(A combined way of matlab and VC++ was realized and it is used to process the basic function of matlab. It is an important approaches.)

用c++编的matlab曲线拟合程序,都是老师布置的数值分析作业!希望和大家交流.谢谢网站提供这个平台!(c addendum to the use of curve fitting procedures Matlab, Layout of the teachers are numerical analysis operations. We hope and exchanges. Thank you for providing this platform!)

Visual C++ 下调用Matcom转换的Matlab代码(Visual C++ under the call of the Matlab code conversion Matcom)

学习matlab的傅里叶变化小程序，没问题额(Fourier transform of small learning matlab program, the amount is no problem)

潮流计算 潮流计算潮流计算潮流计算潮流计算潮流计算(FLOW )

VC和MATLAB的混合编程，提供VC和MATLAB的高效运作。VC的界面设计，MATLAB的强大计算功能。(Mixture of VC and MATLAB programming and provide the efficient operation of the VC and MATLAB. VC interface design, MATLAB' s powerful computing capabilities.)

有关于三相光伏并网逆变系统的matlab仿真(On the three-phase photovoltaic inverter system simulation matlab)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)