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Comments-in-Chinese-of-emd
- emd经验模态分解的中文注释说明,描述了各个函数的功能-emd Chinese explanatory notes describe the features of each function
zhoucheng
- 轴承故障诊断，经验模态分解，采用切片双谱-Bearing fault diagnosis, empirical mode decomposition, using slices bispectral
LMD
- 局域均值分解的程序，此为经验模态分解方法的另一种改进，此方法能够减小端点效应的影响，但是模态混叠问题还是没有得到完全抑制-Local mean decomposition process, this is the empirical mode decomposition method is another improvement, this method can reduce the effect of the endpoint, bu
how-to-use-matlab-EEMD
- 使用经验模态分解的方法，文档中配合着一些例子，通过这些例子的使用，可以掌握经验莫泰分解的matlab工具箱使用方法-Using empirical mode decomposition method, a document with some examples of the use of these examples, you can master experience Motel decomposition method using
EMD_TOOLBOX
- 该程序能够完成经验模态分解，为大家使用经验模态分解提供了方便-it is applied for EMD
emd
- emd经验模态分解程序，包括所有emd文件-emd EMD procedures, including all emd files
eemd
- 验模态分解（Empirical Mode Decomposition,简称EMD）是一种自适应信号分解方法,主要应用于非线性非平稳的信号。整体平均经验模态分解（Ensemble Empirical Mode Decomposition,简称EEMD）解决了EMD中出现的模态混合问题。-Ensemble Empirical Mode Decomposition
EMDs
- 经验模态分解程序集，一类可以有效进行信号分段以及分析和处理的源代码。-Empirical mode decomposition procedure
EEMD
- 总体经验模态分解（EEMD）的程序，适合初学者学习。-Overall empirical mode decomposition (EEMD) procedures, suitable for beginners to learn.
EMD
- 本程序是用经验模态分解(EMD)算法检测VF信号的，该算法的灵敏度和特异性都达到了90 以上。-This procedure is used empirical mode decomposition (EMD) algorithm to detect VF signals, the sensitivity and specificity of the algorithm has reached more than 90 .
bemd
- 二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, using morphology for extreme points, radial basis function neural network fitting, faster.
EEMD
- 改进的总体经验模态分解,效果不错,欢迎讨论-Improved overall empirical mode decomposition, the effect is good, welcome to discuss
xiangguanxishufaEEMDzhenshifenliang
- 通过相关系统法滤除集成经验模态分解（EEMD）中的虚假分量-Filtered through the relevant system integration method empirical mode decomposition (EEMD) the false component
emdqyj
- 经验模态分解，EMD代码，采用经验模态分解求取行波故障波形突变点-emd code
emd
- 用于故障诊断、数据分析等领域的经验模态分解方法-For fault diagnosis, data analysis and other fields of empirical mode decomposition method
114
- 基于经验模态分解和独立成分分析去噪的特点, 提出了一种联合独立成分分析和经验模态分解的混沌信号降噪方法. 利用经验模态分解对混沌信号进行分解, 根据平移不变经验模态分解的思想构造多维输入向量, 通过所构造的多维输入向量和独立成分分析对混沌信号的各层内蕴模态函数进行自适应去噪处理-Based on empirical mode decomposition and independent component analysis denoisi
115
- 本文针对基于经验模态分解ＥＭＤ的时空滤波器存在的固有模态函数分量中频率混叠交叉导致有用信号与噪声一起被滤除的问题结合小波在时间尺度两域表征信号局部特征的特性提出了一种基于能量估计实现ＥＭＤ分解层数确定-In this paper, based on empirical mode decomposition EMD temporal filter mode functions inherent component of cross-fre
116
- 针对柴油机振动信号的瞬时非线性特点, 提出采用柴油机振动信号的本征模函数( IMF) 分量进行特征频带识别的新方法。将柴油机振动信号经经验模态分解, 并去掉主要干扰因素所对应的IMF分量, 再将剩余IMF分量进行重构得到柴油机振动信号-For instantaneous nonlinear characteristics of vibration signals of diesel engine, the diesel engine v
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- 针对非线性非平稳信号的去噪问题，提出一种基于主成分分析（ＰＣＡ）的经验模态分解（ＥＭＤ）消噪方法．该方法根据ＥＭＤ的分解特性，利用ＰＣＡ对噪声信号经ＥＭＤ分解后的内蕴模态函数（ＩＭＦ）进行去噪处理-For nonlinear and non-stationary signal de-noising is proposed based on principal component analysis (PCA) of the empiric
instfreq
- 针对EMD经验模态分解不能找到instfreq的问题-For empirical mode decomposition EMD can not find instfreq problems