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In den WarenkorbZustand: Good. xiv, 227 pp., hardcover, ex library, spine faded, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Verlag: Springer, 2011
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In den WarenkorbHardcover. Zustand: Fine. No Jacket. Maximum-Likelihood Deconvolution: A Journey into Model-Based Signal Processing. Mendel, Jerry M. Springer New York, 2011. 227p. hardcover no dust jacket, boards clean/square, binding tight, text clean/unmarked, NOT xlib, as new condition except for name /address stamp front endpaper 35.00.
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In den WarenkorbHardcover. Zustand: Very Good. Very GoodDust Jacket may NOT BE INCLUDED.CDs may be missing. book.
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In den WarenkorbZustand: New. In.
Verlag: Springer-Verlag New York Inc., 1989
ISBN 10: 0387972080 ISBN 13: 9780387972084
Sprache: Englisch
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Außen: Klebereste / Klebespuren. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 241 | Sprache: Englisch | Produktart: Bücher.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Convolution is the most important operation that describes the behavior of a linear time-invariant dynamical system. Deconvolution is the unraveling of convolution. It is the inverse problem of generating the system's input from knowledge about the system's output and dynamics. Deconvolution requires a careful balancing of bandwidth and signal-to-noise ratio effects. Maximum-likelihood deconvolution (MLD) is a design procedure that handles both effects. It draws upon ideas from Maximum Likelihood, when unknown parameters are random. It leads to linear and nonlinear signal processors that provide high-resolution estimates of a system's input. All aspects of MLD are described, from first principles in this book. The purpose of this volume is to explain MLD as simply as possible. To do this, the entire theory of MLD is presented in terms of a convolutional signal generating model and some relatively simple ideas from optimization theory. Earlier approaches to MLD, which are couched in the language of state-variable models and estimation theory, are unnecessary to understand the essence of MLD. MLD is a model-based signal processing procedure, because it is based on a signal model, namely the convolutional model. The book focuses on three aspects of MLD: (1) specification of a probability model for the system's measured output; (2) determination of an appropriate likelihood function; and (3) maximization of that likelihood function. Many practical algorithms are obtained. Computational aspects of MLD are described in great detail. Extensive simulations are provided, including real data applications.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 241 pages. 9.25x6.10x0.60 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Like New. Like New. book.
Verlag: Springer-Verlag New York Inc., 2011
ISBN 10: 1461279852 ISBN 13: 9781461279853
Sprache: Englisch
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