Principles of Signal Detection and Parameter Estimation

  • Bernard C.┬áLevy

Table of contents

  1. Front Matter
    Pages 1-16
  2. Bernard C. Levy
    Pages 1-12
  3. Foundations

    1. Front Matter
      Pages 1-1
    2. Bernard C. Levy
      Pages 1-57
    3. Bernard C. Levy
      Pages 1-40
    4. Bernard C. Levy
      Pages 1-56
    5. Bernard C. Levy
      Pages 1-65
    6. Bernard C. Levy
      Pages 1-42
  4. Gaussian Detection

  5. Markov Chain Detection

    1. Front Matter
      Pages 1-1
  6. Back Matter
    Pages 1-7

About this book


This new textbook is for contemporary signal detection and parameter estimation courses offered at the advanced undergraduate and graduate levels. It presents a unified treatment of detection problems arising in radar/sonar signal processing and modern digital communication systems. The material is comprehensive in scope and addresses signal processing and communication applications with an emphasis on fundamental principles. In addition to standard topics normally covered in such a course, the author incorporates recent advances, such as the asymptotic performance of detectors, sequential detection, generalized likelihood ratio tests (GLRTs), robust detection, the detection of Gaussian signals in noise, the expectation maximization algorithm, and the detection of Markov chain signals. Numerous examples and detailed derivations along with homework problems following each chapter are included.


Modulation communication hidden markov models hypothesis testing markov models radar signal processing

Authors and affiliations

  • Bernard C.┬áLevy
    • 1
  1. 1.Dept. Electrical & , Computer EngineeringUniversity of California, DavisDavisU.S.A.

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2008
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-76542-6
  • Online ISBN 978-0-387-76544-0
  • Buy this book on publisher's site