基于PD增益自适应调节的模型参考自适应控制

一定要上传么？matlab文件，本科的时候自己做的，一个电动机反馈的问题(I have no idea)

模式识别中的bayes判别分析算法，有PMUSIC 校正前和校正后的比较，实现了图像的加水印，去噪，加噪声等功能。( Pattern Recognition bayes discriminant analysis algorithm, A relatively before correction and after correction PMUSIC, Realize image watermarking, de-noising, plus noise and other functions.)

电力系统仿真IEEE9节点系统详细参数数据，对电力系统仿真非常有用(Power system simulation IEEE9 detailed parameter data bus system for power system simulation is useful)

基于前推回代算法的配电网潮流计算，很经典的程序源代码(Based on behalf of the algorithm back to the distribution power flow calculation, it is the classic source code)

说明：  这是一篇关于多用户下行链路预编码的文章，主要是从一些基本的矩阵变换以及矩阵运算方面讲解一些原理，最后给出仿真实验

无线传感器网络QoS路由Speed算法，matlab程序(Wireless sensor networks, QoS routing Speed ​ ​ algorithm. M )

按照指定噪声系数和指定的FIR滤波器参数，模拟接收机接收信号过程(In accordance with the specified noise figure, the FIR filter parameters and the specified process of the reception signal, analog receiver)

表情识别：Matlab程序+PDF说明文档。适合初学者(Expression recognition：Matlab sources+ PDF document.It s suitable for the beginners. )

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

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