store2hdf5_trainingdata

image quality measures

Iterative closest poin in MATLAB

说明：  计算流体力学的典型流程，navier-stokes方程组的数值解法(The typical computational fluid dynamics process, navier-stokes equations numerical solution)

阈值模型系统仿真，每个智能体向不同方向的移动的代码(Threshold model system simulation, each agent in different directions of movement of the code)

这是一个用MATLAB编写卡尔曼滤波算法的程序(This is a program)

据说是耶鲁大学的图像处理matlab文件，请大家参考。。。貌似挺高级的(Yale University said image processing matlab file, please refer to. . . Looks like a very advanced)

说明：  广义预测控制仿真的源代码将在这里展示，用MATLAB进行仿真。(a good simulation is shown.)

说明：  包含波束形成的仿真，五种阵列波束：线阵，主瓣偏移线阵，切比雪夫加权的线阵，圆阵，平面阵(Beamforming simulation contains five arrays beam: linear array, the main valve offset linear array, weighted Chebyshev linear array, circular array, planar array)

均衡效果好，这是基于最大似然估计的均衡器(With the development of high-speed optical fiber communication systems, polarization mode dispersion (PMD) has become a vital limiting factor. However, the traditional compensation methods which in optical domain have the disadvantages of complexity and cost. In recent years, the compensation methods which in electronic domain are given more attention because of their outstanding price advantage and their strong adaptability. The maximum-likehihood sequence estimation (MLSE) equalizer based on the Viterbi algorithm was designed in this paper.The MLSE equalizer can effectively compensate the intersymbol interference caused by polarization mode dispersion (PMD). First, the background and the spectrum of the text were introduced also the principles of PMD and the FFE/DFE equalizer were analysed. Second, the principles of Viterbi and the structure of MLSE were researched also the MLSE equalizer was simulated with the Matlab program in the optical fiber communication systems. T)

x=GaussianElimination(A,b) GaussianElimination solves system of linear equations of the form Ax = b using Gaussian Elimination method. A = n x n square matrix with the coefficients of the system of equations as the elements of matrix A b = column matrix with length = n