Seismic communication

Citation Author(s):
Yuanjie
Jiang
Submitted by:
Yuanjie Jiang
Last updated:
Wed, 08/16/2023 - 04:42
DOI:
10.21227/ph4n-m638
License:
0
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Abstract 

Seismic data, obtained from sensors placed on the Earth's surface or subsurface, provides valuable insights into the composition and structure of the Earth's subsurface layers. This data is typically collected in the form of digital recordings, which represent the vibrations produced by seismic waves generated by controlled sources or natural events such as earthquakes. Converting seismic data into speech signals allows researchers and professionals to gain aural insights into the subsurface characteristics.

Seismic data is collected through networks of sensors called seismometers or geophones. These sensors record ground vibrations caused by seismic waves. The raw data obtained from these sensors is usually in the form of time-series recordings, capturing the amplitude of vibrations over time.

Before converting the data to speech signals, preprocessing steps are necessary. This may involve filtering out noise, correcting for sensor response, and normalizing the data to ensure accurate representation.

 

Instructions: 

Seismic data, obtained from sensors placed on the Earth's surface or subsurface, provides valuable insights into the composition and structure of the Earth's subsurface layers. This data is typically collected in the form of digital recordings, which represent the vibrations produced by seismic waves generated by controlled sources or natural events such as earthquakes. Converting seismic data into speech signals allows researchers and professionals to gain aural insights into the subsurface characteristics.

Seismic data is collected through networks of sensors called seismometers or geophones. These sensors record ground vibrations caused by seismic waves. The raw data obtained from these sensors is usually in the form of time-series recordings, capturing the amplitude of vibrations over time.

Before converting the data to speech signals, preprocessing steps are necessary. This may involve filtering out noise, correcting for sensor response, and normalizing the data to ensure accurate representation.