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分析非平稳时变的实证分解法(EMD)的基础上产生的适应性,本征模函数(IMF)的数据,处理的数据。-analyze the non-stationary time-varying data processed by the Empirical Decomposition Method (EMD), which generates the adaptive basis, Intrinsic Mode Functions (IMF), from the data.
Each chapter pa
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对一时间序列进行EMD分解,产生若干经验模态。是HHT变换的前提。-EMD of a time series decomposition, resulting in a number of empirical mode,which is a prerequisite for HHT transformation.
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快速eemd算法,收敛速度与传统eemd相比有很大改进-EMD is a nonlinear and nonstationary time domain decomposition method. It is an adaptive, data-driven algorithm
that decomposes a time series into multiple empirical modes, known as intrinsic mode functions (IMFs).
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可用于三维经验正交模态分解,直接使用,很方便啊(which can be used for Empirical Orthogonal Mode Decomposition(EMF) of three dimension)
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对信号进行EEMD分解,得到经验模态分量和一个趋势项(EEMD decomposition of the signal to obtain empirical mode components and a trend of the item)
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该程序是依据matlab所编写的,基于对经验模态分解,及其改进算法的比较(The program is based on MATLAB. Based on empirical mode decomposition and comparison of its improved algorithms)
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一些关于经验模态分解的编程实例有FFT,HHT,功率谱,包络谱(Some programming examples about empirical mode decomposition include fft,hht, power spectrum, envelope spectrum.)
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经验模态分解(Empirical Mode Decomposition,EMD)是由 Huang等人于1998年提出的一种针对非线性、非平稳信号的自适应信号分解算法。自该方法提出以后便得到了学术界的广泛关注与研究,经过十几年的研究与发展,在理论方面EMD算法取得了进一步的完善。许多国内外学者也将该方法应用到了地球物理领域,并做了深度的研究与探索。与传统的基于Fourier变换的信号分析方法相比,EMD不仅突破了Fourier变换的局限性,而且不存在如小波变换一样需要预选小波基函数的问题,具有良好
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matlab经验模态分解 emd 工具包 包含emd常用函数,可用于机械设备故障诊断(Matlab empirical mode decomposition toolkit can be directly used in mechanical equipment fault diagnosis)
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EMD经验模态分解算法仿真,内部包含函数及泄露信号及模拟信号的仿真(Empirical Mode DecompositionEmulation of empirical mode decomposition algorithm, simulation of internal containing function, leakage signal and analog signal)
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EMD的扩展算法,集合经验模态分解(EEMD), 程序完整可运行(Extension algorithm of EMD, ensemble empirical mode decomposition (EEMD), complete and runnable program)
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EMD经验模态分解实例:采用EMD分解信号(EMD empirical mode decomposition example: signal decomposition using EMD)
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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)
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对经验模态分解后的各分量IMF进行重构代码,函数可直接调用。(After the empirical mode decomposition, IMF reconstructs the code, and the function can be called directly.)
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基于经验模态分解成多个模态和一个残余量,再利用长短神经网络预测分别训练每一个模态和残余量,最后重构结果,得到预测结果(Prediction based on empirical mode decomposition and long short neural network)
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希尔伯特黄变换,经验模态分解,边际谱,超级全代码,可以出图可以自由更换信号(Hilbert Huang transform, empirical mode decomposition, marginal spectrum, super full code, mapping and free signal replacement)
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多元经验模式分解(MEMD)算法是EMD算法从单个变量到任意数量的变量的扩展,其与经验模态分解一样存在模式混合问题,基于噪声辅助的多元经验模式分解(NAMEMD)就在对MEMD的改进,解决其问题。(The multiple empirical mode decomposition (MEMD) algorithm is an extension of the EMD algorithm from a single variable to any number of variables. Like
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希尔伯特-黄变换的matlab程序,内含集合经验模态分解文件(Hilbert Huang transform matlab program, including set empirical mode decomposition file)
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VMD代码,该程序对信号进行经验模式分解,可以用于故障信号处理,还可以与很对方法结合。如,排列熵,emd,vmd,等,包含VMD、EMD、EEMD工具箱,可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(VMD code, the program for empirical mode decomposition of signals, can be used for fault signal processing, can also be combined with a very goo
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集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)
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