Anthony Zaknich
Principles of Adaptive Filters and Self-learning Systems
Paperback Engels 2005 2005e druk 9781852339845Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
Teaches students about classical and nonclassical adaptive systems within one pair of covers
Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance
The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems
Specificaties
ISBN13:9781852339845
Taal:Engels
Bindwijze:paperback
Aantal pagina's:386
Uitgever:Springer London
Druk:2005
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
Part I: Introduction Adaptive Filtering Linear Systems and Stochastic Processes Part II: Modelling Optimisation and Least Square Estimation Parametric Signal and System Modelling Part III: Classical Filters and Spectral Analysis Optimum Wiener Filter Optimal Kalman Filter Power Spectral Density Analysis Part IV: Adaptive Filter Theory Adaptive Finite Impulse Response Filters Frequency Domain Adaptive Filters Adaptive Volterra Filters Adaptive Control Systems Part V: Nonclassical Adaptive Systems Introduction to Neural Networks Introduction to Fuzzy Logic Systems Introduction to Genetic Algorithms Part VI: Adaptive Filter Application Applications of Adaptive Signal Processing Generic Adaptive Filter Structures
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