matlab

用于小波分解与重构算法 对于初学者很有用 验证可用(For wavelet decomposition and reconstruction)

此程序主要演示通道间相位误差对DBF旁瓣电平的影响。(This program is mainly to demonstrate of effect of channel phase errors on the sidelobes of DBF.)

大型风电场用储能装置容量的优化配置,储能系统的输出功率限制和容量限制对平滑结果均有明显的影响(Optimization Configuration for Capacity of Energy Storage System in Large-scale Wind Farm)

说明：  通过定义一个辅助向量，该向量中的元素为每条边端点的节点，生成无标度网络(By defining an auxiliary vector, the vector for each element in the endpoint of the edge node, to generate scale-free network)

Identify tables and interactively select the data to bring into MATLAB

lab exercise programs to learn matlab. easy examples to know the basic functions used in matlab coding. we can also learn how to create a circle ,spiral etc...

its utlizieses the techniques in removal of noise

用于对周期性的数据趋势进行评估与分析，特别适用于具有某个周期的数据组。(For periodic assessment of the data and trend analysis, especially for data having a certain set period.)

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)

a new optimization algorithm ,,,, really helpful