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Estimation of scalar field distribution in the Fourier domain.

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Title: Estimation of scalar field distribution in the Fourier domain.
Authors: Leong, Alex S.1 (AUTHOR) alex.leong@defence.gov.au, Skvortsov, Alexei T.1 (AUTHOR) alexei.skvortsov@defence.gov.au
Source: Digital Signal Processing. Mar2024, Vol. 146, pN.PAG-N.PAG. 1p.
Subjects: Drone aircraft, Autonomous vehicles, Fourier transforms
Abstract: In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy measurements collected by unmanned autonomous vehicles such as UAVs. The field is modelled as a sum of Fourier components/modes, where the number of modes retained and estimated determines in a natural way the approximation quality. An algorithm for estimating the modes using an online optimisation approach is presented, under the assumption that the noisy measurements are quantized. The algorithm can also be used to estimate time-varying fields. Simulation studies demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 175364536
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PubType: Periodical
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  Data: Estimation of scalar field distribution in the Fourier domain.
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  Data: <searchLink fieldCode="AR" term="%22Leong%2C+Alex+S%2E%22">Leong, Alex S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alex.leong@defence.gov.au</i><br /><searchLink fieldCode="AR" term="%22Skvortsov%2C+Alexei+T%2E%22">Skvortsov, Alexei T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alexei.skvortsov@defence.gov.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Digital+Signal+Processing%22">Digital Signal Processing</searchLink>. Mar2024, Vol. 146, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+transforms%22">Fourier transforms</searchLink>
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  Label: Abstract
  Group: Ab
  Data: In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy measurements collected by unmanned autonomous vehicles such as UAVs. The field is modelled as a sum of Fourier components/modes, where the number of modes retained and estimated determines in a natural way the approximation quality. An algorithm for estimating the modes using an online optimisation approach is presented, under the assumption that the noisy measurements are quantized. The algorithm can also be used to estimate time-varying fields. Simulation studies demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.dsp.2023.104371
    Languages:
      – Code: eng
        Text: English
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        StartPage: N.PAG
    Subjects:
      – SubjectFull: Drone aircraft
        Type: general
      – SubjectFull: Autonomous vehicles
        Type: general
      – SubjectFull: Fourier transforms
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      – TitleFull: Estimation of scalar field distribution in the Fourier domain.
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            NameFull: Leong, Alex S.
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            NameFull: Skvortsov, Alexei T.
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              Text: Mar2024
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              Y: 2024
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              Value: 146
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