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) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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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. – Name: Author Label: Authors Group: Au 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> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su 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> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Information+Theory%22">COMPUTERS / Information Theory</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: HasContributorRelationships: – PersonEntity: Name: NameFull: Jerry D. Gibson – PersonEntity: Name: NameFull: James L Melsa – PersonEntity: Name: NameFull: Jerry D. Gibson – PersonEntity: Name: NameFull: James L Melsa IsPartOfRelationships: – BibEntity: 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 |
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