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Explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. This book introduces discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm.
Suitable for engineering and science students, professionals, and those working on problems involving transforms, this title provides a large number of examples to explain the use of transforms in different areas, including circuit analysis, differential equations, signals and systems, and mechanical vibrations.
Emphasizes the fundamentals of analog and digital signals and systems. Offering insights into the basic concepts and methods, this text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems.
Explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. This book introduces discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm.
Abonner på vårt nyhetsbrev og få rabatter og inspirasjon til din neste leseopplevelse.
Ved å abonnere godtar du vår personvernerklæring.