One cause of pulse-like anomalies observed at Guza before the Wenchuan earthquake

Zhou, Cong; Wang, Qingliang; Zhu, L.; Wang, Cuizhi

doi:10.1007/s11600-018-0174-6

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…In the fields of communication, fault diagnosis, biomedicine and seismic monitoring, pulse signal is a typical signal form [15][16][17][18]. Improving the detection ability of weak pulse signal under noise background and accurately measuring pulse signal is of great significance for reducing the cost of equipment detection, providing theoretical ideas for the development of some high-precision detection instruments, finding early faults and enhancing the anti-interference ability of detection system [6].…”

Section: Introductionmentioning

confidence: 99%

Detection of Weak Pulse Signal under Chaotic Noise based on Fractional Maximum Correlation Entropy Algorithm

Shi

et al. 2022

J. Phys.: Conf. Ser.

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How to improve the detection accuracy of target weak signal is always the difficulty of signal processing. In this paper, based on fractional maximum correlation entropy algorithm and combined with the local linear model, a method for detecting weak pulse signal in chaotic noise background is proposed. Firstly, for the sensitivity of chaotic signal to initial values and short-term predictability, reconstruct the phase space of the observation signal, establish a local linear model, use the fractional maximum correlation entropy algorithm for parameter estimation, and perform a single-step prediction to obtain the prediction error. Then, in order to accurately detect the submerged weak pulse signal, a threshold is given. Finally, the simulation results show that the proposed model in this paper can effectively detect the weak pulse signal under the background of chaotic noise, and it is suitable for signals of different intensities, and the detection speed and accuracy are much better than other models.

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Section: Introductionmentioning

confidence: 99%

Detection of Weak Pulse Signal under Chaotic Noise based on Fractional Maximum Correlation Entropy Algorithm

Shi

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

One cause of pulse-like anomalies observed at Guza before the Wenchuan earthquake

Cited by 1 publication

References 29 publications

Detection of Weak Pulse Signal under Chaotic Noise based on Fractional Maximum Correlation Entropy Algorithm

Detection of Weak Pulse Signal under Chaotic Noise based on Fractional Maximum Correlation Entropy Algorithm

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