Li4_3_1Test

用于循环前缀ofdm同步，算法很简单，熟悉此算法原理的人更容易看懂。(Cyclic Prefix for OFDM synchronization algorithm is very simple, familiar with the principles of this algorithm easier to understand.)

Finite Element Method Boundary Element Method有限元法和边界元法(Finite Element Method Boundary Element Me thod finite element method and boundary element method)

一直用途比较大的调制方式，高斯最小移频键控，在simulink中有比较大的参考价值(Has been the use of relatively large modulation, Gaussian Minimum Shift Keying reference value in simulink)

轨迹优化源代码，用切比雪夫法求解最优控制问题。···(trajectory optimal )

一种基于RSSI无线定位算法的源代码，有助于进一步了解改算法的优缺点(RSSI Wireless Location Algorithm Based on the source code, help to further understand the advantages and disadvantages of change algorithm)

数值积分和数值微分的相应方法，程序测试无误。(Numerical integration and numerical differentiation of the corresponding program to test and correct. )

用matlab程序实现最炫民族风的演奏，已经试验，可以运行(Matlab program to achieve the most unusual national air play, already tested, you can run)

模拟大型服务器均衡器工作，将多台低性能服务器组合成高性能、高可用的服务器(Simulate large server equalizer work combines multiple servers into a high-performance low-performance, high availability servers)

说明：  此代码能实现钟表的运行，时间与系统时间一致，并且出现时针分针秒针(This code can be run timepiece, time consistent with the system time, hour and minute hands and the second hand occurs)

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.)