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emddenoising
- 常见的EMD的方法的非平稳信号去噪的例子,完全正确,可以直接运行的程序-good example of emd
eemd
- 信号处理,关于信号处理的emd方法。进行去噪和自动识别。-Signal processing, signal processing emd on the method. For denoising and automatic identification.
13898350hht
- EMD分解源码,可用于信号的分解,去噪以及细节分析。是最新的2007的版本。
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
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- 将白噪声和瑞丽分布的噪声模拟为信号的背景噪声,分别通过小波去噪,EMD去噪,EMD结合小波去噪的方法来进行背景噪声去噪分析。-Ruili, the distribution of white noise and the noise modeled as background noise signals, respectively, through the Wavelet denoising, EMD denoising, EMD combined with wavelet denoising a
EEMD
- EMD和EEMD变换在信号去噪中的应用(含EEMD程序)-EMD and EEMD transform in signal denoising (including EEMD program)
EMD-denoising
- 基于经验模态分解的信号去噪算法,一个很好的例子-Signal Denoising Algorithm based on empirical mode decomposition
emd
- 基于MATLAB的EMD去噪算法,可用于线形,非线性一维信号,去噪效果良好。-EMD denoising algorithm based on MATLAB
emd-quzao
- 可以对探底雷达信号进行认为加噪处理,在通过emd方法去噪处理并画wigb-Think that adding noise can dip radar signal processing, emd method denoising processing and painting wigb the
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
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.
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.
signal-denosing-EMD
- EMD主要用于信号处理领域,用于信号去噪。-EMD is mainly used for signal processing, for signal denoising.
emd
- 经验模态分解程序,对多种信号去噪很有帮助-Hilbert-Huang Transform
EMD
- emd 信号分解 可用于信号去噪 信号分离等场合-emd decomposition
EMD--entropy
- emd进行振动信号处理时,阀值的确定,样本熵的提取,此程序可以实现复杂工频背景下,电压振动信号去噪-The emd vibration signal processing, the determination of the threshold, the extraction of sample entropy, the program can be implemented under the complex background of power frequency, voltage vibra
emd对一维信号去噪
- 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。(Three kinds of EMD denoising methods: 1. Direct use of wavelet threshold for hard threshold denoising; 2. Use of threshold denoising with EMD decomposition characteristics; 3. Translati
基于 HHT 的船体结构应力监测数据 特征分析和去噪方法
- [目的]为了去除船体结构应力监测数据中的噪声信号,获得有效的数据信息,以便为后续数据挖掘提 供支撑,[方法]首先,采用 HHT 方法中的经验模态分解(EMD)算法对数据进行成分分析,得到固有模态函数 (IMF)和余项。然后,通过 Hilbert变换得到 Hilbert谱,证明应力监测数据的非平稳特性。最后,以信噪比(SNR) 和均方根误差(RMSE)为例,结合自适应去噪和小波阈值去噪两种方法对应力监测数据进行去噪效果比较。 [结果]结果表明,基于 HHT方法的自适应去噪和小波去噪都具有一定
emd去噪
- 用于emd(经验模态分解)进行地震信号去噪(It is applied to emd (empirical mode decomposition) for seismic signal denoising)