dc-dc buck电路仿真

simulink matlab dsp tms320lf2407 永磁无刷直流电机(simulink matlab dsp tms320lf2407 BLDCM)

说明：  matlab SIMULINK Arabic tutorial part 5

Arduino package setup on matlab

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)

神经网络工具包，安装在MATLAB中，使用神经网络计算时需要安装，可以调用其中的函数(Neural network toolkit, installed in the MATLAB, the use of neural network calculation need to install, you can call the function)

关于LMS算法的MATLAB仿真程序，LMS自适应滤波算法的仿真结果和收敛过程。(About LMS algorithm MATLAB simulation program, LMS adaptive filter algorithm simulation results and convergence process.)

图片印刷字符的识别（可识别多种字体） 将Matlab工作空间路径设置为本文件夹 在Matlab命令窗口内输入： numCongnition( able1/01.jpg ) 通过改图片来对不同的图进行处理，其中able1,able2,able3三个文件夹分别对应三种字体 命令窗口输出要识别的字符，并且自动弹出中间处理过程窗口 也可以运行： num = pretreat( able1/01.jpg ) imshow(num) 直接得到预处理后的图片 再键入： getNumber(num) 得到字符输出 (Set the Matlab workspace path to this folder In the Matlab command window input: NumCongnition ( able1/01. JPG) Through change pictures to deal with different figure, including able1, able2, able3 three folders corresponding to three kinds of fonts Command window output to identify characters, and automatically process among popup Windows Can run: Num = pretreat ( able1/01. JPG) Imshow (num) Directly after preprocessing of images Type: GetNumber (num) Get the output character)

基于MATLAB的基带信号仿真系统，以BPSK为例。在MATLAB上仿真通过。(MATLAB-based simulation system of the base-band signal to BPSK as an example. In the simulation by MATLAB.)

这段代码主要是实现二阶巴特沃斯高通滤波器，本段代码全部用MATLAB语言实现的。(This code is to achieve second-order Butterworth high-pass filter, the above code to achieve the full use of the MATLAB language.)

说明：  使用各种方法进行图像特征提取，对特征不明显的图像有很好的效果！(Using a variety of methods for image feature extraction, feature obscure the image of good results!)