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Seismic $P$ Phase Picking Using a Kurtosis-Based Criterion in the Stationary Wavelet Domain

Juan J. Galiana-Merino, Julio Luis Rosa-Herranz, Stefano Parolai
2008 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms -Kurtosis, P phase identification, seismic signal processing, stationary wavelet transform (SWT). or the wavelet transform [25]-[27].  ...  The P onset is obtained under a statistical criterion applied in the time-frequency domain.  ...  Acknowledgments We are very thankful to P. Jáuregui for his help in analyzing the seismograms.  ... 
doi:10.1109/tgrs.2008.2002647 fatcat:as7ucxlapnfrpopsubr5xgmc7e

Strategy for automated analysis of passive microseismic data based on S-transform, Otsu's thresholding, and higher order statistics

G-Akis Tselentis, Nikolaos Martakis, Paraskevas Paraskevopoulos, Athanasios Lois, Efthimios Sokos
2012 Geophysics  
An automatic P-phase picker based on higher order statistics criteria was used. The method was used with data from a surface seismic station.  ...  This method comprised a chi-squared-based statistical test for microseismic event detection and denoising filtering in the Stransform domain based on the Otsu thresholding method.  ...  Maxwell, A. Rosca, and L. Eisner for their constructive comments that helped improve this paper.  ... 
doi:10.1190/geo2011-0301.1 fatcat:4lwdc2v475g2zgmpw56paxjk7a

Improving Time Estimation by Blind Deconvolution: with Applications to TOFD and Backscatter Sizing [article]

Roberto H. Herrera, Zhaorui Liu, Natasha Raffa, Paul Christensen, Adrianus Elvers
2015 arXiv   pre-print
Instead, the wavelet (ultrasound pulse) is statistically estimated from the signal itself by a kurtosis-based metric.  ...  In this paper we present a blind deconvolution scheme based on statistical wavelet estimation. We assume no prior knowledge of the wavelet, and do not select a reflector from the signal.  ...  Acknowledgements The authors would like to thank UT Technology for permission to use the data shown in this paper. We are also indebted to Shealene Page for her review of this manuscript.  ... 
arXiv:1505.08107v1 fatcat:giuxfuqetrhdzg564nzayomyba

A new automatic S-onset detection technique: Application in local earthquake data

Athanasios Lois, Efthimios Sokos, Nikolaos Martakis, Paraskevas Paraskevopoulos, G-Akis Tselentis
2013 Geophysics  
We obtain a first S-phase arrival time estimation by applying the kurtosis criterion on the derived characteristic function.  ...  Modern dense seismic networks used for earthquake location, seismic tomography investigations, source studies, early warning, etc., demand accurate automatic S-wave picking.  ...  ACKNOWLEDGMENTS The authors would like to thank Mauricio Sacchi, Shawn Maxwell, Artur Cichowicz, Jiri Zahradnik. and two anonymous reviewers, for their constructive criticism and valuable suggestions.  ... 
doi:10.1190/geo2012-0050.1 fatcat:bynew6ekx5dg3bltwwgnodjvha

Seismic ray-impedance inversion [chapter]

2016 Seismic Inversion  
This thesis investigates a prestack seismic inversion scheme implemented in the ray parameter domain.  ...  With different constant-ray-parameter profiles, mixed-phase wavelets are initially estimated based on the high-order statistics of the data and further refined after a proper well-toseismic tie.  ...  (b) Constant-phase wavelet corresponding to the maximum kurtosis. Figure 2. 8 8 The real seismic profile used for estimating wavelet.  ... 
doi:10.1002/9781119258032.ch10 fatcat:dozbwj4e2re23lzffv3xrjeff4

A ratio test for the accurate automatic P — wave onset detection

Erjon-Vasilis M. Pikoulis, Emmanouil Z. Psarakis
In this paper a new nonlinear transformation of the raw data based on the notion of the length of seismogram and a ratio test statistic for the accurate automatic P -wave onset detection problem are proposed  ...  From a series of experiments on real signals we have conducted, the proposed picking method seems to outperform well known in the literature methods.  ...  This work was financed by the University of Patras, Karatheodori research program, entitled "The relocation problem of seismic event hypocenter parameters".  ... 
doi:10.1109/icosp.2010.5656125 fatcat:q3rawjnxbjgqbmimtunmdi65vm

Velocity analysis based on minimum entropy

D. De Vries, A. J. Berkhout
1984 Geophysics  
Wiggins (1978) uses, as a criterion for optimal deconvolution of a seismic trace, the v a r i m a x -norm introduced by Kaiser (1958) In order to get an ME-norm which, in MED-performance, yields better  ...  In the latter case, the role of temporal wavelets (pulses) is performed by s p a t i a l wavelets.  ...  APPENDIX A: A note on the effect of velocity errors in computerized acoustic focusing techniques A. J. Berkhout Delft University of Technology, Department of Applied Physics, Group of Acoustics, P.  ... 
doi:10.1190/1.1441629 fatcat:wpvdjrajevbftohlxhg6wdivwm

Lung Sounds: An Advanced Signal Processing Perspective

Leontios J. Hadjileontiadis
2008 Synthesis Lectures on Biomedical Engineering  
wAveLeT-BASed deNoISINg Two LS denoising techniques based on wavelets are presented: continuous wavelet transformwheeze episode detector (CWT-WED) [158] and wavelet transform-based stationary-nonstationary  ...  The FDD scheme is based on the FD of the LS recordings. As discussed in Section 2.8, FD could be used as a measure of signal complexity in the time domain.  ... 
doi:10.2200/s00127ed1v01y200811bme009 fatcat:i4e4h4rfqzeoxld64xmaruesni

Proposal for a System Model for Offline Seismic Event Detection in Colombia

Julián Miranda, Angélica Flórez, Gustavo Ospina, Ciro Gamboa, Carlos Flórez, Miguel Altuve
2020 Future Internet  
Machine learning is used to identify P-wave windows in historic records and hence detect seismic events.  ...  This paper presents an integrated model for seismic events detection in Colombia using machine learning techniques.  ...  Thanks to Maria A. Claro and Diana T.  ... 
doi:10.3390/fi12120231 fatcat:vky5wjtvmzh3hbhw7w2od4elou

A physiological signal processing system for optimal engagement and attention detection

A. Belle, R. Hobson, K. Najarian
2011 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)  
However, wavelet transforms analysis as we now know predominantly began in the mid-1980s. It was initially used to investigate seismic signals [94] .  ...  In the decomposition based approach, the pre-processed ECG signal is decomposed using two different domain transform methods.  ...  The table displays a column showing which of these features were selected and not selected for the final 281 features used after feature space reduction step.  ... 
doi:10.1109/bibmw.2011.6112429 dblp:conf/bibm/BelleHN11 fatcat:jprve3btxnc4jd4rvakyoyelve

Combination of minimum enclosing balls classifier with SVM in coal-rock recognition

QingJun Song, HaiYan Jiang, Qinghui Song, XieGuang Zhao, Xiaoxuan Wu, Zhaohong Deng
2017 PLoS ONE  
And the perfect combination of feature variables can be automatically decided by using the multi-class F-score (MF-Score) feature selection.  ...  The results of experiments on the caving dataset show the better performance which leads to a promising feature selection and multi-class recognition in coal-rock recognition.  ...  Acknowledgments The authors gratefully thank anonymous reviewers for their valuable comments to improve the paper quality.  ... 
doi:10.1371/journal.pone.0184834 pmid:28937987 pmcid:PMC5609752 fatcat:p6er7gv5kzcwlenshkmh5kouni

Modeling Earth Dynamics: Complexity, Uncertainty, and Validation 28th IUGG Conference on Mathematical Geophysics; Pisa, Italy, 7-11 June 2010

A. Neri
2010 EOS  
picked phase arrival times for GT reference events.  ...  For example, arrival times for P and S waves have a random component, attributed to sources such as distant-dependent measurement error, human error in picking arrival phases, and random noise attributed  ... 
doi:10.1029/2010eo510012 fatcat:dtwgpyu3wbfchotfybjnwes2ze

Characteristics of the acoustic emission during horizontal single grit scratch tests: Part 1 characteristics and identification

James Griffin, Xun Chen
2009 International Journal of Abrasive Technology  
Specifically the research in this thesis looks at issues in establishing the initial steps to gain a generic process monitoring system that ensures that grinding is both optimised but not the determent  ...  Other thesis results investigated a generic classifier using Genetic Programming to classify multiple [iii] anomaly phenomena.  ...  Time-Frequency Domain The AE wave is described as a non-stationary stochastic signal.  ... 
doi:10.1504/ijat.2009.021636 fatcat:4kuqpxcehbgo3ac3regxxst5fm

The maximum amount of rotational energy transfer in F2-He system and hard ellipsoid potential model

Dharmendra S. Firozia
2012 IOSR Journal of Applied Physics  
Abstract: Local women in the Niger Delta use oil companies' gas flare sites to dry a popular cassava base food, kpokpo-garri (tapioca).This work is on the investigation of the effects of using gas flare  ...  to be independent and non-Gaussian.ICA based preprocesses boost the higher order correlation (bispectrum).This study also shows improvement in the signal to noise ratio (SNR) and visualized the suppressed  ...  Acknowledgment The Acknowledgement This study has been supported by the Malaysian Institute for Nuclear Technology Research (MINT), in particular the medical physics group.  ... 
doi:10.9790/4861-0250105 fatcat:skrhltkotja4lmkbbma7ewz22i

Sound‐pressure level distribution in a long, narrow hallway: Measurements versus results from a computer model with scattering from surface roughness and diffraction

Lily M. Wang, Jonathan Rathsam, Claus L. Christensen, Jens H. Rindel
2005 Journal of the Acoustical Society of America  
the analysis of seismic reflection data in the shot domain.  ...  The current work is part of a project to relate characteristics of the P s contour to prosodic events. To that end, one must identify the three phases in a P s contour.  ...  The deconvolution is based on a collection of known excitation signals of the maximum-length sequence ͑MLS͒ related classes, widely used in the spread spectrum communication, but less well known in acoustics  ... 
doi:10.1121/1.4785653 fatcat:vcvuciqds5cztjto3gadvh6rtm
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