matlab-time-frequency-analysis

对正交频分复用的仿真，主要针对其简单原理进行仿真(On orthogonal frequency division multiplexing of the simulation, the main principle for its simple simulation)

本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。(This procedure is the V-BLAST system and its detection algorithm simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, MMSE, ZF, and the use of zero-forcing successive interference cancellation detection algorithm.)

声波传输损耗，有利于节约你的时间，希望广大爱好程序计算者喜欢 (acoustic transmission loss)

这是美国数学建模的论文，描述了如何用matlab解决问题(American Mathematical modeling is a paper that describes how to use matlab to solve the problem)

基于matlab2011b，三电平，公司仿真文件，拿出来分享。(Based matlab2011b, three-level simulation files, to come up with to share.)

说明：  参考维基百科（https://en.wikipedia.org/wiki/Variance-based_sensitivity_analysis）的取样过程以及对应的Estimators。理论性的东西就不进行复述了，这里主要阐述用MATLAB（R2018b）对某个特定函数进行Solo indices敏感性分析的过程。大致可分为四个过程：采样，构建函数，函数输出（将样本带入函数得到输出值），计算Sobol指数（估算一阶影响指数和全局影响指数）(Sobol global sensitivity analysis)

SVPWM algorithm Strategies

一段很好地的改进music 算法lurootmusic(some good music to the improved algorithm lurootmusic)

本程序包采用matlab编写的几种数值计算中经典的解方程组的算法，包括LU分解、Gauss消元法、Jacobi迭代法、以及Guass-Seidel迭代法的源代码。供大家参考。(This package prepared using matlab several numerical solution of equations of classical algorithms, including LU decomposition, Gauss elimination method, Jacobi iteration, and Guass-Seidel iteration method source code. For your reference.)

MIT--航空航天工程中的计算方法_最优化方案 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace engineering calculations _ MIT open course program optimization- Aerospace engineering calculation methods for this course in aviation and aerospace engineering calculations appear in an introduction. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)