Buch, Englisch, 386 Seiten, Format (B × H): 159 mm x 236 mm, Gewicht: 1260 g
Buch, Englisch, 386 Seiten, Format (B × H): 159 mm x 236 mm, Gewicht: 1260 g
Reihe: Advanced Textbooks in Control and Signal Processing
ISBN: 978-1-85233-984-5
Verlag: Springer
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 courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications. This is the first text to cover Kalman and Wiener filters, neural networks, genetic algorithms and fuzzy logic systems together in a unified treatment.
Zielgruppe
Masters, beginning PhD and other graduate students in signal processing and control courses; academics teaching signal processing courses
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Technische Wissenschaften Technik Allgemein Physik, Chemie für Ingenieure
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
Weitere Infos & Material
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.