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- 求解变分不等式的英文论文，希望对大家有所帮助-Solving Variational Inequalities in English papers, I hope all of you to help
levelset_lecture
- 这几张PPT内容主要是李春明针对水平集的一些基本知识、应用展开的。-Lichunming-- Curve evolution and level set methods: Curve Evolution: from snake to general curve evolution Level Set Methods: basic concepts and methods Numerical issues: Difference scheme:
shiyan
- 2.5D直流电测深，有限元变分问题，正演程序-2.5D electrical sounding, finite element variational problems, the forward program
Variational-motion-segmentation
- we automatically determine an appropriate initialization and the number of regions bymeans of recursive two-phase splits with higher order region models.
A-NEW-METHOD-FOR-GABOR-MULTIPLIER
- This work addresses the analysis of families of sound signals through linear transformations that map signals to each other. These transformations are modeled as Gabor multipliers, which are defined by point wise multiplication with a given transfer
A-Robust-Algorithm-for-Joint-Sparse
- 脉冲噪声背景下的联合稀疏恢复方法， 在不同背景下给出了测试结果-presents a robust solution for joint sparse recovery (JSR) under impulsive noise. The unknown measurement noise is endowed with the Student-t distribution, then a novel Bayesian probabilistic model is proposed to
VMD
- 本文介绍了一种自适应信号分解新方法-变分模态分解，并且针对滚动轴承早期故障识别困难这一问题，提出了基于VMD的诊断方法。-In this paper, a new adaptive signal decomposition method, variational mode decomposition, is introduced. Aiming at the problem of early fault identification of rolling bearing, a diagnosis
Parameter-optimization
- 针对滚动轴承早期故障特征提取困难的问题，提出一种基于参数优化变分模态分解的轴承早期故障诊断方法。首先利用粒子群优化算法对变分模态分解算法的最佳影响参数组合进行搜索，搜索结束后根据所得结果设定变分模态分解算法的惩罚参数和分量个数，并利用参数优化变分模态分解算法对故障信号进行处理。-Aiming at the difficult problem of early fault feature extraction of rolling bearing, an early fault diagnosis
VMD-Parameter-Estimation
- 变分模态分解在信号分解精度和噪声鲁棒性方面具有明显优势，但需预先确定模态数K，而目前K 只能靠先验知识进行预估，如果预估的K 与实际信号存在差异，会导致分解误差较大。针对以上问题，利用EMD 不需预先设定模态数的自适应分解特点，通过对EMD 分解结果的分析，进行VMD 分解模态数的估计，并通过仿真信号分析及滚动轴承故障信息提取-Variational modal decomposition has obvious advantages in signal decomposition accura