Results 111 to 120 of about 98,906 (246)

Retracted: Analysis of Bioelectrical Impedance Spectrum for Elbow Stiffness Based on Hilbert-Huang Transform. [PDF]

Contrast Media Mol Imaging, 2023
Imaging CMM.
europepmc   +1 more source

基于振动信号诊断齿轮断齿故障新方法

Jixie chuandong, 2012
According to the nonstationarity and nonlinearity of the broken teeth fault of gear,the Hilbert-Huang transform is employed.Firstly,the a series of Intrinsic Mode Functions（IMFs） are obtained by the Empirical Mode Decomposition （EMD）method.Secondly,the ...
严作堂, 陈宏
doaj  

Chirplet Analysis of Speech Signals Based on the Hilbert–Huang Transform

Кібернетика та комп'ютерні технології
Introduction. This article proposes a novel approach to speech signal analysis based on the chirplet transform, which integrates the Hilbert – Huang transform with chirplet analysis.
Ihor Bezverbnyi
doaj   +1 more source

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks

, 2018
In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining useful life (RUL) for REBs are of crucial importance to ensure the reliability
Cheng, Cheng, Ding, Han, Ma, Guijun, Sun, Mingyang, Teng, Fei, Yuan, Ye, Zhang, Yong   +6 more
core   +1 more source

An orthogonal technique for empirical mode decomposition in Hilbert-Huang transform

MATEC Web of Conferences, 2015
First, it is indicated that the intrinsic mode functions (IMF) obtained by the empirical mode decomposition (EMD) are not orthogonal. Then an orthogonal technique based on Gram-Schmidt method is proposed to obtain the complete orthogonal intrinsic mode ...
Lou Menglin, Huang Tianli
doaj   +1 more source

A Method for Detecting LDoS Attacks in SDWSN Based on Compressed Hilbert-Huang Transform and Convolutional Neural Networks. [PDF]

Sensors (Basel), 2023
Liu Y, Sun D, Zhang R, Li W.
europepmc   +1 more source

Effectiveness of stacks in the stacked Hilbert-Huang transform

Physical Review D
The Hilbert-Huang transform (HHT) consists of empirical mode decomposition (EMD), which is a template-free method that represents the combination of different intrinsic modes on a time-frequency map (i.e., the Hilbert spectrum). The application of HHT involves introducing trials by imposing white noise on the signal and then calculating the ensemble ...
Lupin Chun-Che Lin, Chin-Ping Hu, Chien-Chang Yen, Kuo-Chuan Pan, C. Y. Hui, Kwan-Lok Li, Yu-Chiung Lin, Yi-Sheng Huang, Albert K. H. Kong   +8 more
openaire   +2 more sources

Comparison of Different Time-Frequency Analyses Techniques Based on sEMG-Signals in Table Tennis: A Case Study

International Journal of Computer Science in Sport, 2018
The surface EMG signal in the action of dynamic contraction has more movement interference compared to sustained static contractions. In addition, the recruitment and de-recruitment of motor units causes a faster change in the surface EMG signal’s ...
Lin B., Wong S. F., Baca A.
doaj   +1 more source

Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics. [PDF]

Front Neurosci, 2023
Lu X, Wang T, Ye M, Huang S, Wang M, Zhang J.   +5 more
europepmc   +1 more source

Corrigendum: Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics. [PDF]

Front Neurosci, 2023
Lu X, Wang T, Ye M, Huang S, Wang M, Zhang J.   +5 more
europepmc   +1 more source