Three-dimensional scalar controlled-source audio-frequency magnetotelluric inversion using tipper data

Wang, Kunpeng; Cao, Hui; Duan, Changsheng; Huang, Jian; Li, Fulong

doi:10.1016/j.jappgeo.2019.01.006

Cited by 11 publications

(3 citation statements)

References 28 publications

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“…This study will be dealing with an audio frequency which is generally sound frequency but bounded only to a frequency range an average human being will be able to hear. The standard hearing range for humans is 20 Hz to 20 kHz [17]. This range can be divided into seven different frequency bands: 20 Hz to 60 Hz range is called Sub-bass which produces a sound so low that it is felt more than it is heard.…”

Section: Background Of the Studymentioning

confidence: 99%

Audio-based Assessment in Determining Language

Africa¹

2020

IJETER

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The most apparent way humans communicate is verbal with the use of Language. With language being so complex, the average person would not be able to recognize another language besides their native own. But one thing is universal for all languages spoken throughout the world and it is that they produce sound. The average human being can hear sounds with frequencies ranging from 20 Hz to 20,000 Hz and with an intensity above the standard threshold of hearing. Hence, speaking produces sound with frequencies in between the said range. This paper aims to determine the language spoken of a given voice signal. By analyzing the given voice signal, its frequency range can be determined. Languages are spoken differently therefore have different frequency ranges. By using a filter to remove any ambient sounds from the input voice signal, its equivalent spectrogram reading gives an accurate range of its frequencies.

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Section: Background Of the Studymentioning

confidence: 99%

Audio-based Assessment in Determining Language

Africa¹

2020

IJETER

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“…The inversion results are dependent on which MT response function is used for the input of inversion. Tietze and Ritter (2013) represented that each component of the impedance tensor and/or tipper yields different inversion results; Wang et al (2019) and Luo et al (2020) showed that meaningful changes occur in inverted models when the tipper data are additionally used; and Patro et al (2013) presented 3D models inverted by the impedance and phase tensors. Uhm et al (2023) investigated the characteristics of the various MT response functions (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Tietze and Ritter (2013) represented that each component of the impedance tensor and/or tipper yields different inversion results; Wang et al. (2019) and Luo et al. (2020) showed that meaningful changes occur in inverted models when the tipper data are additionally used; and Patro et al.…”

Section: Introductionmentioning

confidence: 99%

Application of sensitivity patterns to inversion of magnetotelluric field data in Utah for selecting optimal input

Uhm,

Min,

Heo

2023

Geophysical Prospecting

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Many different MT response functions such as the impedance and tipper which are converted from measured electromagnetic fields to remove the effects of natural sources have been proposed and studied. To obtain good inversion results, it is important to know that the inversion results depend on the sensitivity patterns of the MT response functions used as the input, indicating parts to which the MT responses are sensitive. We introduce how to use the sensitivity patterns to determine optimal input MT response functions for interpreting field data. For MT field data, we use the data acquired at the Utah Frontier Observatory for Research in Geothermal Energy (FORGE) survey area. The target structure in the Utah FORGE survey area is associated with geothermal energy, and most of the sites are located to the left of the target structure. Examining the sensitivity patterns of the majorThis article is protected by copyright. All rights reserved

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Modified symbiotic organisms search (SOS) algorithm for controlled-source audio-frequency magnetotellurics (CSAMT) one-dimensional (1D) modelling

Grandis

Sungkono

2022

J Earth Syst Sci

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Three-dimensional scalar controlled-source audio-frequency magnetotelluric inversion using tipper data

Cited by 11 publications

References 28 publications

Audio-based Assessment in Determining Language

Audio-based Assessment in Determining Language

Application of sensitivity patterns to inversion of magnetotelluric field data in Utah for selecting optimal input

Modified symbiotic organisms search (SOS) algorithm for controlled-source audio-frequency magnetotellurics (CSAMT) one-dimensional (1D) modelling

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