Two_D_SeDuMi

Filtering using Weiner filter

激光主动照明的雷达方程，照明光源的辐射功率(W)，辐射距离(m)(一般值是1000m)。(Active laser radar equation lighting, illumination of the radiated power (W), radiation from the (m) (normal value is 1000m).)

数字信号处理的函数库,描述了各种库函数的使用方法，数字信号的处理方法(Digital signal processing library, describes the use of a variety of methods of library functions, digital signal processing methods)

是matlab写的Reinhard的颜色传输算法代码(Reinhard color transfer algorithm code matlab write)

this mfile is a code for simulation rice fading channels versus snr.

一个OFDM符号128个有效符号，插入128个虚拟子载波 符号率（即有效数据率）fsymbol，而发送速率（需要包括虚拟子载波）2fsymbol 输入的数据需要2倍的发送数据率，以便进行内插，实现位定时跟踪，即4倍fsymbol采样率的调制信号 OFDM symbol Nfft=128 points 一个OFDM符号数据点 Nfft*2 = 256 ， Guard Interval点 ＝Ng*2=64 (128 of an OFDM symbol of a valid symbol 128 inserted virtual sub-carrier Symbol rate (the effective data rate) fsymbol sending rate (including virtual subcarriers) 2fsymbol Of the input data needs to be 2 times the transmission data rate, in order to carry out the interpolation, to achieve the bit timing tracking, i.e. four times the sampling rate modulation signal fsymbol OFDM symbol Nfft = 128 points One OFDM symbol data points nfft* 2 = 256, the Guard Interval dot = Ng* 2 = 64)

说明：  中文语言理解测评基准，包括代表性的数据集、基准(预训练)模型、语料库、排行榜。 我们会选择一系列有一定代表性的任务对应的数据集，做为我们测试基准的数据集。这些数据集会覆盖不同的任务、数据量、任务难度。(Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models, corpus and leaderboard)

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

npc 3-level inverter spwm matlab

d维空间中N个点，求这些点的最小体积覆盖椭球。 算法：针对其对偶问题，采用Franke-Wolfe序列线性逼近策略，逐次求得最优乘子，进而求出椭球的相关参数，又称Khachiyan一阶导数算法。 适用范围：中小规模数据集(Minimum Volume Enclosing Ellipsoid； MVEE)