scholarly journals Noise Reduction Model of Blasting Seismic Wave Signal

Author(s):  
Miao Sun ◽  
Li Wu ◽  
Qing Yuan ◽  
Yuchun Zhou ◽  
Chenyang Ma ◽  
...  
2013 ◽  
Vol 8 (9) ◽  
pp. 953-960 ◽  
Author(s):  
ZHAO Zhiqiang ◽  
ZHENG Guowei ◽  
PANG Yu ◽  
SHENG wei ◽  
LIAO cheng ◽  
...  

Author(s):  
Dongliang Yu ◽  
Laibin Zhang ◽  
Liang Wei ◽  
Zhaohui Wang

The appearance of a rupture, leak or damage in the long-distance oil & gas pipeline, which could cause a leak, usually generates a non-linear & chaotic negative pressure wave signal. By properly interpreting the negative pressure wave signature, it is possible to detect a leak along the pipeline. Most traditional noise reduction methods are established based on the linear system, which are not in line with the actual non-linear & chaotic situation. Therefore, the weak negative pressure wave signals, generated by small leaks, are often filtered out and cause false alarm and failure alarm. In order to resolve the problem, this paper uses the non-linear projective algorithm for noise reduction. First, the weak negative pressure wave signal series would be reconstructed using delay coordinates, in the high dimensional phase space, the background signal, the negative pressure wave signal and the noise signal are separated into different sub-spaces. Through the reconstruction of sub-spaces, the weak pressure wave signal can be isolated from the background signal as well as the random noise component reduced.


2005 ◽  
Author(s):  
R.A. Griffin ◽  
S.L. Zhang ◽  
P.M. Lane ◽  
J.J. O'Reilly

2014 ◽  
Vol 687-691 ◽  
pp. 3175-3178 ◽  
Author(s):  
Pei Cui ◽  
Chun Zhi Bai

In the special marine environmental conditions, there are certain advantages of ship seismic wave relative to underwater acoustic signal. However, due to the poor performance of seismic wave sensor, it is difficult to effectively detect seismic signal. From the signal characteristics of ship seismic wave, we can see that the ship seismic wave signal is better than underwater acoustic signal through comparative analysis in some special environment. In the low frequency band of DC-20Hz, the energy of the ship seismic is stronger and the line spectrum is more obvious. It briefly explains the mathematical model of ocean bottom seismometers receiving ship seismic wave information based on coupling theory. Finally, this paper focuses on many factors need to be considered in the selection of seismic wave sensor from the structure, type and performance of sensor. In view of different functionality of sensor types, it is suggested to use acceleration sensor to detect the ship seismic wave signal.


2015 ◽  
Vol 114 (4) ◽  
pp. 2087-2089
Author(s):  
Yixuan Ku ◽  
Martine R. van Schouwenburg

In a recent article, Itthipuripat and colleagues combined psychophysics, neurophysiology, and mathematical modeling to investigate the neural mechanism underlying behavioral benefits of spatial attention (Itthipuripat S, Ester EF, Deering S, Serences JT. J Neurosci 34: 13384–13398, 2014). They found that attention-related effects on behavior as well as neural signals could be better explained by a response gain model than by a noise reduction model or an efficient read-out model. In this Neuro Forum we discuss these results and raise several interesting questions and potential interpretations.


2020 ◽  
Author(s):  
Lance Storm ◽  
Patrizio Tressoldi

We report the results of an update to the meta-analysis by Storm, Tressoldi, and Di Risio (2010). Three laboratory-based free-response designs were assessed: (i) ganzfeld (a technique proposed to enhance a communication anomaly referred to as extra-sensory perception; ESP); (ii) nonganzfeld noise reduction using alleged ESP-enhancing techniques (e.g., dreaming, hypnosis, relaxation, and meditation); and (iii) standard free-response (nonganzfeld; non-noise-reduction). For the period 2009 to 2018, a dataset of nine new ganzfeld studies (Category 1) yielded a mean effect size (ES) of 0.119 (where ES = z/√n); 19 new nonganzfeld noise-reduction studies (Category 2) yielded mean ES = 0.045; and 15 new standard free-response studies (Category 3) yielded mean ES = 0.050. Stouffer Z scores for all three databases were significant, but each new database was not significantly different from its respective database in Storm et al. (2010). The increased ganzfeld database (N = 38) yielded a mean ES = 0.133; the nonganzfeld noise-reduction database (N = 37) yielded mean ES = 0.072; and the standard free-response database (N = 33) yielded mean ES = 0.027. Again, Stouffer Z scores were significant. We found Category 1 had a significantly higher mean effect than Category 3, and participants who were selected for the studies (they believed in psi, or practiced, say, meditation, etc.) produced a stronger mean effect than unselected (randomly assigned) participants, but there were no differences between type of modality tested (i.e., telepathy, clairvoyance, precognition), types of target (film clips, photographs, etc.), or experimenter/laboratory. There was also no evidence of a decline effect across a 44-year period. Finally, we conducted a Bayesian analysis and found that the case for a communication anomaly using free-response designs was upheld.


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