Principles of Signal Detection and Parameter Estimation

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Levy, Bernard C. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • I Foundations
  • Binary and Mary Hypothesis Testing
  • Tests with Repeated Observations
  • Parameter Estimation Theory
  • Composite Hypothesis Testing
  • Robust Detection
  • II Gaussian Detection
  • Karhunen Loeve Expansion of Gaussian Processes
  • Detection of Known Signals in Gaussian Noise
  • Detection of Signals with Unknown Parameters
  • Detection of Gaussian Signals in WGN
  • EM Estimation and Detection of Gaussian Signals with unknown parameters
  • III Markov Chain Detection
  • Detection of Markov Chains with Known Parameters
  • Detection of Markov Chains with Unknown Parameters.