Principles of Signal Detection and Parameter Estimation

Principles of Signal Detection and Parameter Estimation

Detalles Bibliográficos
Autor principal: Levy, Bernard C. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer US : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Materias:
Electrical engineering.
Signal processing.
Image processing.
Speech processing systems.
Information theory.
Statistics .
Communications Engineering, Networks.
Signal, Image and Speech Processing.
Information and Communication, Circuits.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Acceso en línea:https://doi.org/10.1007/978-0-387-76544-0
Tabla de Contenidos:
  • 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.

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