Introduction to Nonparametric Detection with Applications

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Title: Introduction to Nonparametric Detection with Applications
Description: Even with the advances in signal processing and digital communications, robustness to uncertain channel statistics continues to be a fundamental issue in the design and performance analysis of today's communications, radar, and sonar systems. The variability of digital communications systems consistently challenges the communications system designer, while new applications have channels that almost defy accurate modeling. As a result, parametric detectors, which are excellent when model assumptions are satisfied, do not maintain the satisfactory performance necessary for detection. This core IEEE Press reissue is the only book devoted solely to nonparametric detection - the key to maintaining good performance over a wide range of conditions. Throughout, the authors employ the classical Neyman-Pearson approach, which is widely applicable to detection problems in communications, radar, sonar, acoustics, and geophysics. Topics covered include: nonparametric detection theory, basic detection theory, one-input and two-input detectors and performance, tied observations, dependent sample performance, and engineering applications.
Authors: Jerry D. Gibson, James L Melsa
Resource Type: eBook.
Subjects: Statistical hypothesis testing, Demodulation (Electronics), Nonparametric signal detection, Signal processing
Categories: COMPUTERS / Information Theory
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 297035
RelevancyScore: 959
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 959.155151367188
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Introduction to Nonparametric Detection with Applications
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Even with the advances in signal processing and digital communications, robustness to uncertain channel statistics continues to be a fundamental issue in the design and performance analysis of today's communications, radar, and sonar systems. The variability of digital communications systems consistently challenges the communications system designer, while new applications have channels that almost defy accurate modeling. As a result, parametric detectors, which are excellent when model assumptions are satisfied, do not maintain the satisfactory performance necessary for detection. This core IEEE Press reissue is the only book devoted solely to nonparametric detection - the key to maintaining good performance over a wide range of conditions. Throughout, the authors employ the classical Neyman-Pearson approach, which is widely applicable to detection problems in communications, radar, sonar, acoustics, and geophysics. Topics covered include: nonparametric detection theory, basic detection theory, one-input and two-input detectors and performance, tied observations, dependent sample performance, and engineering applications.
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  Data: <searchLink fieldCode="AR" term="%22Jerry+D%2E+Gibson%22">Jerry D. Gibson</searchLink><br /><searchLink fieldCode="AR" term="%22James+L+Melsa%22">James L Melsa</searchLink>
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  Data: eBook.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink><br /><searchLink fieldCode="DE" term="%22Demodulation+%28Electronics%29%22">Demodulation (Electronics)</searchLink><br /><searchLink fieldCode="DE" term="%22Nonparametric+signal+detection%22">Nonparametric signal detection</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 621.380436
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Statistical hypothesis testing
        Type: general
      – SubjectFull: Demodulation (Electronics)
        Type: general
      – SubjectFull: Nonparametric signal detection
        Type: general
      – SubjectFull: Signal processing
        Type: general
    Titles:
      – TitleFull: Introduction to Nonparametric Detection with Applications
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Jerry D. Gibson
      – PersonEntity:
          Name:
            NameFull: James L Melsa
      – PersonEntity:
          Name:
            NameFull: Jerry D. Gibson
      – PersonEntity:
          Name:
            NameFull: James L Melsa
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1975
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780122821509
            – Type: isbn-electronic
              Value: 9780080956282
          Numbering:
            – Type: volume
              Value: 00119
          Titles:
            – TitleFull: Introduction to Nonparametric Detection with Applications
              Type: main
ResultId 1