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Robust Statistics for Signal Processing

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Title: Robust Statistics for Signal Processing
Description: Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.
Authors: Abdelhak M. Zoubir, Visa Koivunen, Esa Ollila, Michael Muma
Resource Type: eBook.
Subjects: Robust statistics, Signal processing--Mathematics
Categories: TECHNOLOGY & ENGINEERING / Signals & Signal Processing
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1084
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: Robust Statistics for Signal Processing
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  Data: Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.
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RecordInfo BibRecord:
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    Classifications:
      – Code: 519.5
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Robust statistics
        Type: general
      – SubjectFull: Signal processing--Mathematics
        Type: general
    Titles:
      – TitleFull: Robust Statistics for Signal Processing
        Type: main
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          Name:
            NameFull: Abdelhak M. Zoubir
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            NameFull: Visa Koivunen
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            NameFull: Esa Ollila
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            NameFull: Michael Muma
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            NameFull: Abdelhak M. Zoubir
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            NameFull: Visa Koivunen
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            NameFull: Esa Ollila
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            NameFull: Michael Muma
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2018
            – D: 02
              M: 11
              Type: profile
              Y: 2018
          Identifiers:
            – Type: isbn-print
              Value: 9781107017412
            – Type: isbn-electronic
              Value: 9781108582759
          Titles:
            – TitleFull: Robust Statistics for Signal Processing
              Type: main
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