1) Hilbert marginal spectrum
Hilbert边际谱
1.
By applying HHT to the signal the Hilbert marginal spectrum which can reflect accurately the signal amplitude changes with the frequency.
通过对信号进 行Hilbert Huang变换,可以得到信号的Hilbert边际谱,它能精确地反映信号幅值随频率的变化规律。
2.
Then Hilbert spectrum and Hilbert marginal spectrum are obtained from instantaneous frequency and amplitude obtained from Hilbert transform.
通过EMD方法提取信号的固有模态函数(IMF),再进行Hilbert变换,求瞬时频率、瞬时振幅,得到信号的Hilbert谱,进而得到Hilbert边际谱,对故障暂态和扰动信号进行了分析。
3.
The results indicate that different mental tasks in EEG have different Hilbert-Huang spectrums and Hilbert marginal spectrums, which proves HHT to be a feasible method on EEG analysis.
实验结果表明,不同思维作业脑电信号经HHT后的HH谱和Hilbert边际谱都差异显著,证明HHT方法对脑电信号处理的可行性。
2) local Hilbert marginal spectrum
局部Hilbert边际谱
3) Hilbert Spectrum
Hilbert谱
1.
Hilbert spectrum and intrinsic oscillation mode of dynamic response of a bilinear SDOF system: influence of input harmonic frequency;
双线性单自由度体系强迫动力反应的Hilbert谱与本征振动模态:输入简谐波频率的影响
2.
Analysis and application of empirical mode decomposition and Hilbert spectrum;
经验模式分解与Hilbert谱的分析及应用
3.
By representing the intrinsic mode functions (IMF s) as time varying VARMA model, the time varying model parameters estimated with Kalman filter are used to calculate the instantaneous frequencies, according to which the Hilbert spectrum is yielded and the envelope is derived from the .
指出了Hilbert-Huang变换方法中进行Hilbert谱分析时应引起重视的两方面限定。
4) marginal spectrum
边际谱
1.
Study on the marginal spectrum in Hilbert-Huang transform;
希尔伯特黄变换中边际谱的研究
2.
Application of Hilbert marginal spectrum in speech emotion recognition
希尔伯特边际谱在语音情感识别中的应用
3.
Each IMF component was then analyzed with marginal spectrum.
对齿轮箱启动时测得的原始振动信号进行角域重采样,然后对角域里的信号进行EMD(Empirical Mode Decomposition)分解得到多个IMF(Intrinsic Mode Function)分量,最后对各个IMF分量进行了边际谱分析。
5) Hilbert spectral analysis
Hilbert谱分析
1.
We will introduce a new time-frequency analysis approach,Hilbert spectral analysis method,and its application to heart sounds signals.
文章介绍了一种新的时频分析方法—— Hilbert谱分析 ,并将其应用到心音信号的时频分析中 ,分析对比了短时 Fourier变换 ,小波分析和 Hilbert谱分析这三种方法在处理心音信号时的性能差异 。
2.
This method contains two parts:empirical mode decomposition(EMD) and the Hilbert spectral analysis.
HHT是一种新的非平稳信号处理技术,该方法由EMD与Hilbert谱分析两部分组成。
6) Hilbert spectrum entropy
Hilbert谱熵
1.
Investigation on diesel engine fault diagnosis by using Hilbert spectrum entropy;
基于Hilbert谱熵的柴油机故障诊断方法研究
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参考词条