变分模态分解(Variational Mode Decomposition,VMD)是由 Dragomiretskiy 等人提出的一种自适应信号处理方法,通过迭代搜寻变分模态 的最优解,不断更新各模态函数及中心频率,得到若干具有一定宽带的模态函数。 VMD算法是一种递归算法,有严格的数学理论做支撑!
62, NO. 3, FEBRUARY 1, 2014 531Variational Mode DecompositionKonstantin Dragomiretskiy and Dominique Zosso, Member, IEEEAbstract—During the late 1990s, Huang introduced the algo-rithm called Empirical Mode Decomposition, which is widelyused today to recursively decompose a signal into different modes...
资源简介 二维变模态分解(TWO-DIMENSIONAL VARIATIONAL MODE DECOMPOSITION),自适应的将图像分解为不同的模态,包含代码和对应的论文 an image into few different modes,include code and its cor 代码片段和文件信息 function[u u_hat omega] = VMD_2D(signal alpha tau K DC init tol) ...
.pdf 文档大小: 3.0M 文档页数: 14页 顶/踩数: 0/0 收藏人数: 2 评论次数: 0 文档热度: 文档分类: 论文--待分类 系统标签: decompositionvariationalmodeemdnitionsignal IEEETRANSACTIONSONSIGNALPROCESSING,VOL.62,NO.3,FEBRUARY1,2014531VariationalModeDecompositionKonstantinDragomiretskiyandDominiqueZosso,Member,...
variational mode decompositionOwing to the increased penetration of renewable energy resources, the issue of unintentional islanding in distributed generation systems has been one of the most common topics of research over the last decade. In this connection, the present work is intended for a solid ...
An adaptive seismic signal denoising method based on variational mode decomposition 阅读笔记 一种基于变分模态分解的自适应地政信号去噪方法 文献地址:https://www.sciencedirect.com/science/article/abs/pii/S0263224121002815?via%3Dihub 摘要 本文研究了由地震传感器组成的无人值守地面传感器系统(UGS)的去噪方法。
This paper presents an extension of variational mode decomposition (VMD) for successively extracting the modes of multi-sensor data sets. First, we achieve the multi-channel extension of the univariate mode by introducing the multivariate modulated oscillation model, which can take the correlation betwe...
To improve the accuracy of stock price index prediction, this paper introduces a new hybrid model, VMD-LSTM, that combines variational mode decomposition (VMD) and a long short-term memory (LSTM) network. The proposed model is based on decomposition-and-ensemble framework. VMD is a data-...
(\Omega )in the current (deformed) configuration. In addition, the plastic deformation is an inelastic stress-free process. Therefore, an intermediate stress-free configuration is considered, which results in a multiplicative decomposition of the deformation gradient into a plastic and elastic one, i...
The procedure of the developed algorithm is that: (1) use the 2D-VMD to decompose the image into a number of intrinsic mode functions (IMFs); (2) use the HD and the probability density function (PDF) to distinguish the signal-dominant IMFs (S-D IMFs) and the noise-dominant IMFs (...