Principles of Adaptive Filters and Self-learning Systems

Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book How can a signal be processed for which there are few or no a priori data? Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate cour...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zaknich, Anthony (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advanced Textbooks in Control and Signal Processing,
Temas:
Signal processing.
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Electrical engineering.
Mechanical engineering.
Engineering.
Signal, Speech and Image Processing .
Artificial Intelligence.
Control, Robotics, Automation.
Electrical and Electronic Engineering.
Mechanical Engineering.
Technology and Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Adaptive Filtering
  • Linear Systems and Stochastic Processes
  • Modelling
  • Optimisation and Least Squares Estimation
  • Parametric Signal and System Modelling
  • Classical Filters and Spectral Analysis
  • Optimum Wiener Filter
  • Optimum Kalman Filter
  • Power Spectral Density Analysis
  • Adaptive Filter Theory
  • Adaptive Finite Impulse Response Filters
  • Frequency Domain Adaptive Filters
  • Adaptive Volterra Filters
  • Adaptive Control Systems
  • Nonclassical Adaptive Systems
  • to Neural Networks
  • to Fuzzy Logic Systems
  • to Genetic Algorithms
  • Adaptive Filter Application
  • Applications of Adaptive Signal Processing
  • Generic Adaptive Filter Structures.

Ejemplares similares