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Advanced Theory of Signal Detection

Weak Signal Detection in Generalized Observations

  • Iickho Song
  • Jinsoo Bae
  • Sun Yong Kim

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 1-58
  3. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 59-84
  4. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 85-121
  5. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 123-183
  6. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 185-238
  7. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 239-282
  8. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 283-318
  9. Iickho Song, Jinsoo Bae, Sun Yong Kim
    Pages 319-381
  10. Back Matter
    Pages 383-395

About this book

Introduction

This book contains a number of problems of signal detection theory. A generalized observation model for signal detection problems is included. The model includes several interesting and common special cases such as those describing additive noise, multiplicative noise, and signal-dependent noise. The model can also describe composite signals in addition to the usual known (deterministic) signals and random (stochastic) signals. Locally optimum (LO) and locally optimum rank (LOR) detectors for known and random signals in the model are discussed, and original results are obtained. Other approaches to detection of signals are also discussed.

Keywords

additive capacity detection detector fuzzy model noise research signal signal processing statistics

Authors and affiliations

  • Iickho Song
    • 1
  • Jinsoo Bae
    • 2
  • Sun Yong Kim
    • 3
  1. 1.Dept. EEKorea Advanced Institute of Science and TechnologyYuseong Gu, DaejeonKorea
  2. 2.Sejong UniversitySeoulKorea
  3. 3.Department of Electronic EngineeringKonkuk UniversitySeoulKorea

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-04859-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07708-1
  • Online ISBN 978-3-662-04859-7
  • Series Print ISSN 1860-4862
  • Buy this book on publisher's site
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