chepaishibie

使用matlab实现输入信号的小波消噪和自适应滤波(The input signal using matlab Wavelet Denoising and Adaptive Filtering)

计算一维和二维表面粗糙度Ra，根据需要自行选择。(Calculate one and two dimensional surface roughness Ra, according to the needs of your choice.)

产生PFGA需要的COE文件，正弦载波的码表生成方法，很简单。(COE file generated PFGA needed, sinusoidal carrier code table generation method, is simple.)

介绍matlab相关语言与控制系统仿真，具体内容有计算机辅助设计与仿真技术概述，matlab语言基础，控制系统的数学描述与建模，控制系统的分析方法，SIMULINK仿真基础等等。(Introduction matlab simulation and control systems related to language, the specific content of an overview of computer-aided design and simulation, matlab language based on mathematical description and control system modeling, control system analysis, SIMULINK simulation-based, and so on.)

二维雷诺方程的matlab解法，运用matlab编程的方法解二维雷诺方程的函数(Reynolds equation solution)

matlab 数据采集 小车轨迹 串口 绘图(Matlab Data Acquisition car track serial drawing)

multisurface_plasticity

说明：  Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst

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)

With the help of matlab using ANOVA you can able to represent a graph