DIGITAL SIGNAL PROCESSING - Journal - Bridge of Knowledge

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DIGITAL SIGNAL PROCESSING

ISSN:

1051-2004

eISSN:

1095-4333

Disciplines
(Field of Science):

  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • safety engineering (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • civil engineering, geodesy and transport (Engineering and Technology)
  • mechanical engineering (Engineering and Technology)
  • international relations (Social studies)
  • computer and information sciences (Natural sciences)

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Ministry points - current year
Year Points List
Year 2024 100 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 100 Ministry scored journals list 2024
2023 100 Ministry Scored Journals List
2022 100 Ministry Scored Journals List 2019-2022
2021 100 Ministry Scored Journals List 2019-2022
2020 100 Ministry Scored Journals List 2019-2022
2019 100 Ministry Scored Journals List 2019-2022
2018 30 A
2017 30 A
2016 25 A
2015 30 A
2014 30 A
2013 30 A
2012 30 A
2011 30 A
2010 27 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2022 4.5
Points CiteScore - previous years
Year Points
2022 4.5
2021 6.2
2020 6.3
2019 5.5
2018 4.6
2017 4.5
2016 4.2
2015 3.3
2014 2.8
2013 4.2
2012 4.3
2011 3.4

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total: 5

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Catalog Journals

Year 2018
Year 2016
Year 2015
Year 2014
  • Self-tuning adaptive frequency tracker
    Publication

    An automatic gain tuning algorithm is proposed for a recently introduced adaptive notch filter. Theoretical analysis and simulations show that, under Gaussian random-walk type assumptions, the proposed extension is capable of adjusting adaptation gains of the filter so as to minimize the mean-squared frequency tracking error without prior knowledge of the true frequency trajectory. A simplified one degree of freedom version of...

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Year 2013
  • Parallel frequency tracking with built-in performance evaluation

    The problem of estimation of instantaneous frequency of a nonstationary complex sinusoid (cisoid) buried in wideband noise is considered. The proposed approach employs a bank of adaptive notch filters, extended with a nontrivial performance assessment mechanism which automatically chooses the best performing filter in the bank. Additionally, a computationally attractive method of implementing the bank is proposed. The new structure...

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