IEEE TRANSACTIONS ON SIGNAL PROCESSING - Journal - Bridge of Knowledge

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IEEE TRANSACTIONS ON SIGNAL PROCESSING

ISSN:

1053-587X

eISSN:

1941-0476

Disciplines
(Field of Science):

  • Automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • Information and communication technology (Engineering and Technology)
  • Biomedical engineering (Engineering and Technology)
  • Civil engineering, geodesy and transport (Engineering and Technology)
  • Mechanical engineering (Engineering and Technology)
  • Computer and information sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 140 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 140 Ministry scored journals list 2024
2023 140 Ministry Scored Journals List
2022 140 Ministry Scored Journals List 2019-2022
2021 140 Ministry Scored Journals List 2019-2022
2020 140 Ministry Scored Journals List 2019-2022
2019 140 Ministry Scored Journals List 2019-2022
2018 40 A
2017 40 A
2016 40 A
2015 40 A
2014 40 A
2013 40 A
2012 40 A
2011 40 A
2010 32 A

Model:

Hybrid - transformation agreement

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2022 10.1
Points CiteScore - previous years
Year Points
2022 10.1
2021 10.5
2020 11.5
2019 11.2
2018 9.8
2017 9.4
2016 8.7
2015 8
2014 8.1
2013 8.1
2012 7.2
2011 6.5

Impact Factor:

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total: 17

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Catalog Journals

Year 2021
Year 2020
Year 2019
Year 2017
Year 2015
Year 2012
Year 2011
  • New Algorithms for Adaptive Notch Smoothing

    The problem of extraction/elimination of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using adaptive notch filtering (ANF)algorithms. It is shown that accuracy of signal estimation can be increased if the results obtained from ANF are further processed using a cascade of appropriately designed filters. The resulting adaptive notch smoothing (ANS) algorithms can be employed...

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Year 2010
  • Generalized adaptive notch smoothing revisited

    The problem of identification of quasi-periodically varying dynamic systems is considered. This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. It is shown that the accuracy of parameter estimates can be significantly increased if the results obtained from GANF are further processed using a cascade of appropriately designed filters. The resulting generalized adaptive notch smoothing (GANS) algorithm...

    Full text to download in external service

Year 2008
Year 2007
Year 2006
Year 2003
Year 2002

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