Pulsar signal de-noising method based on multivariate empirical mode decomposition

Jin, Jing; Ma, Xiuxiu; Li, Xiaoyü; Shen, Yi; Huang, Liangwei; He, Liang

doi:10.1109/i2mtc.2015.7151238

Cited by 3 publications

(2 citation statements)

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“…Nevertheless, the traditional EMD framework only allows for analyzing the single signal due to possible mixing phenomena when analyzing multiple signals simultaneously. This problem can be overcome by the multivariate strategy reported in [ 28 ], in which multiple pulsar signals are processed at the time while the mode mixing is avoided. The ensemble empirical mode decomposition (EEMD) synthesizes white Gaussian noise in the input signal for the later decomposition, in which the average operation can also avoid the mode mixing problem that existed in the output IMFs after EMD [ 29 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

“…In comparison with wavelet analysis [ 17 , 23 , 24 ], the denoising algorithm in this paper removes the reliance on choosing perfect basis and threshold functions. The VMD-based design in this paper also allows for processing the original pulsar signals that contain nonstationary background noise derived from many sources without leading to mode mixing problems, like that of the EMD-based analysis in [ 9 , 28 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

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X-ray Pulsar Signal Denoising Based on Variational Mode Decomposition

Chen

Zhao

Yan

2021

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Pulsars, especially X-ray pulsars detectable for small-size detectors, are highly accurate natural clocks suggesting potential applications such as interplanetary navigation control. Due to various complex cosmic background noise, the original pulsar signals, namely photon sequences, observed by detectors have low signal-to-noise ratios (SNRs) that obstruct the practical uses. This paper presents the pulsar denoising strategy developed based on the variational mode decomposition (VMD) approach. It is actually the initial work of our interplanetary navigation control research. The original pulsar signals are decomposed into intrinsic mode functions (IMFs) via VMD, by which the Gaussian noise contaminating the pulsar signals can be attenuated because of the filtering effect during signal decomposition and reconstruction. Comparison experiments based on both simulation and HEASARC-archived X-ray pulsar signals are carried out to validate the effectiveness of the proposed pulsar denoising strategy.

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