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EEMD总体经验模式分解
- EEMD总体经验模式分解，EMD 的一种改进算法，可用于信号的去噪。-EEMD overall empirical mode decomposition, EMD of an improved algorithm can be used for signal de-noising.
EMD-Toolbox
- EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的
EMDdenoising
- 利用emd对一维信号进行去噪的最新程序。包含了三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。-Using emd on one-dimensional signal de-noising of the latest procedures. Emd contains three kinds of de-noising methods: a direct use of wavelet thresholding to c
873204(EMD)
- debruitage par la methode de EMD
2006-2009-EMD-DE
- 图片信息隐藏算法，EMD-DE，基于灰度图像。-Picture information hiding algorithm, EMD-DE, based on gray-scale images.
IMF_Bearing
- methode EMD, qui permet une decomposition en IMF le signal de roulement
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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 empirical mode decomposition (EMD) de
DC-Motor-Current--Analyse-by-EMD
- 基于EMD的直流电机换向电流提取程序。内含用LEM公司的霍尔传感器实测的微型直流电动机启动时的电流信号（真实的数据和大家分享），分别用小波滤波和EMD消噪，并用EMD提取直流分量、高频换向电流，对研究电机间接测速、启动特性测试很有帮助，对电机故障诊断也有帮助。-EMD-based DC motor commutation current extraction procedures. LEM s included with Hall sensors measured miniature DC mo
EMD-Based-Denoising-
- 其中一个为这经验模式分解的任务（EMD）是潜在有用的非参数信号去噪 为此小波阈值一直占主导地位的技术的区域多年。-One of the empirical mode decomposition of this task (EMD) is potentially useful non-parametric signal wavelet threshold de-noising for many years to this end has been the dominant technology i
package_emd
- EMD对图像进行处理，与传统的小波去噪进行比较具有明显优势-EMD for image processing, and compares traditional wavelet de-noising has obvious advantages
emd
- 利用EMD和小波信号去噪的参考文献，适合初学者学习！-The use of EMD and wavelet signal de-noising references, suitable for beginners to learn!
EMD
- 要求同学在学习EMD基本理论的基础上，对一维信号进行各种降噪方法的研究，实现信号去噪。 -EMD based learning requires students in the basic theory of one-dimensional signal noise study various methods to achieve signal de-noising.
formant-detection-based-on-EMD
- 计算共振峰MATLAB代码,gong yu yinxin hao chu li de chu xue zhe shi yong-the formant calculate code
EMD
- emd去噪，不同于小波去噪，去噪效果比小波还要好，能够反映数据的最基本特点。-emd de-noising, unlike wavelet de-noising, even better than the wavelet denoising effect, to reflect the basic characteristics of the data.
emd-eemd
- emd和eemd可用于信号去噪，提取瞬时频率。-emd and can be used to signal de-noising eemd extracting instantaneous frequency.
emd
- EMD经验模态分解,用于信号处理，也常和hilbert变换一起用于信号特征提取、信号消噪等领域-EMD empirical mode decomposition for signal processing, and is often used in conjunction with hilbert transform signal feature extraction, signal de-noising and other fields
matlab-codes
- This works proposes a new data-hiding method based on pixel pair matching (PPM). The basic idea of PPM is to use the values of pixel pair as a reference coordinate, and search a coordinate in the neighborhood set of this pixel pair according to a giv
EMD-LMD_Denoising
- EMD或者LMD的能量密度与其平均周期的乘积K值，当K值发生较大变化的时候，证实该分量为白噪声，可以剔除，将剩下的分量进行重构，达到去噪的目的。-The product of K EMD or LMD energy density and average cycle value when the K value was changed greatly, the component for white noise can be eliminated, the remaining component
小波降噪与EMD混合
- 一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising)
Copie de Rapport du
- the classification of cardiac signals, the methods described in the literature to classify S1 and S2, are based on temporal criteria (duration of systole and diastole) which will no longer be valid in several pathological cases such as tachycardia st