A Rapid Introduction to Adaptive Filtering

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Vega, Leonardo Rey (Συγγραφέας), Rey, Hernan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:SpringerBriefs in Electrical and Computer Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Wiener Filtering and examples
  • Steepest descent procedure
  • Stochastic gradient adaptive filtering: LMS (Least Mean Squares), NLMS (Normalized Mean Squares)
  • Sign-error algorithm, APA (Affine Projection Algorithms)
  • Convergence results
  • Applications
  • LS (Least Squares) and RLS (Recursive Least Squares)
  • Computational complexity and fast implementations
  • Applications.