Processing ambient noise using wavelet analysis tools : the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS)
Joint Authors
Muhammad, Hasanayn J.
al-Rahim, Ali M.
Source
Issue
Vol. 49, Issue 2 (30 Apr. 2022), pp.1-16, 16 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-04-30
Country of Publication
Kuwait
No. of Pages
16
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
The purpose of this study is to reduce the noise of passive seismic signals recorded across the Iraqi Seismological Network Data at Iraqi Meteorological Organization and seismology (IMOS).
The seismic records from six broadband stations of IMOS are largely affected by human activities in the populated cities of Iraq.
We utilized several well-developed amplitude power spectrum and wavelet analysis techniques to improve signal-to-noise ratio.
The results obtained from this comparison show that continuous wavelet transform can largely improve signal with minimal changes in the waveform shape of interest, even in presence of high noise levels.
In addition, has overwhelmingly strong vitality and gains substantial development in the field of signal processing.
Several mother wavelets were tested and Morlet and Coiflet selected as the optimum waves based on the signal characteristics and the noise reduction objective (maximizing SNR or reducing errors).
Hence, the quality of the final seismic signal is crucial for the moment tensor analysis.
However, traditional filters including discrete wavelet packet transform and 1-D wavelet analysis methods can be affective to reduce distortion in the signal.
American Psychological Association (APA)
Muhammad, Hasanayn J.& al-Rahim, Ali M.. 2022. Processing ambient noise using wavelet analysis tools : the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS). Kuwait Journal of Science،Vol. 49, no. 2, pp.1-16.
https://search.emarefa.net/detail/BIM-1500324
Modern Language Association (MLA)
Muhammad, Hasanayn J.& al-Rahim, Ali M.. Processing ambient noise using wavelet analysis tools : the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS). Kuwait Journal of Science Vol. 49, no. 2 (Apr. 2022), pp.1-16.
https://search.emarefa.net/detail/BIM-1500324
American Medical Association (AMA)
Muhammad, Hasanayn J.& al-Rahim, Ali M.. Processing ambient noise using wavelet analysis tools : the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS). Kuwait Journal of Science. 2022. Vol. 49, no. 2, pp.1-16.
https://search.emarefa.net/detail/BIM-1500324
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 14-16
Record ID
BIM-1500324