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Statistical Signal Processing : Modelling and Estimation /

Modern information systems must handle huge amounts of data having varied natural or technological origins. Automated processing of these increasing signal loads requires the training of specialists capable of formalising the problems encountered. This book supplies a formalised, concise presentatio...

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Bibliographic Details
Main Author: Chonavel, Thierry
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London, 2002.
Series:Advanced textbooks in control and signal processing.
Subjects:
Engineering.
Computer simulation.
Electronics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction
  • 2. Random Processes
  • 3. Power Spectrum
  • 4. Spectral Representation
  • 5. Filtering
  • 6. Important Particular Processes
  • 7. Non-linear Transforms of Processes
  • 8. Linear Prediction
  • 9. Particular Filtering Techniques
  • 10. Rational Spectral Densities
  • 11. Spectral Identification
  • 12. Non-parametric Spectral Estimation
  • 13. Parametric Spectral Estimation
  • 14. Higher-order Statistics
  • 15. Bayesian and MCMC Methods
  • 16. Adaptive Estimation
  • Appendices A-Z.