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Signal Processing : Model Based Approach
Published by McGraw-Hill Education, 1985
ISBN 10: 0070097259 ISBN 13: 9780070097254
Language: English
Condition: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Hardcover. Condition: Good. Name/date on ffep. Very few pages have highlights. Light wear to DJ with a few short splits. Nice clean used book.
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Signal Processing: The Model-Based Approach
Published by McGraw Hill, New York, 1986
Seller: AJ Scruffles, Leigh On Sea, ESSEX, United Kingdom
Seller rating 5 out of 5 stars
US$ 9.66
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Add to basketSoft cover. Condition: Very Good. Some mild shelf-wear. Contents clean and tight. Very good.
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Signal Processing; The Model-Based Approach
Published by Published by McGraw-Hill Book Company., New York., 1986
ISBN 10: 0070097259 ISBN 13: 9780070097254
Language: English
Seller: Zephyr Books LLC, Reno, NV, U.S.A.
Association Member: ABAA ILAB IOBA
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. very good bookin very good dust jacket; slight edge wear to dj. 8vo. 240 pp.
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US$ 59.16
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US$ 57.18
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Add to basketCondition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:0070097259.
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Maximum-Likelihood Deconvolution: A Journey into Model-Based Signal Processing (Signal Processing and Digital Filtering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.12
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Hardcover. Condition: As New. Hardcover. Slight age wear. Ex-IBM Information Center edition. For any additional information or pictures, please inquire.
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Condition: New.
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Digital Signal Processing with Matlab Examples, Volume 3: Model-Based Actions and Sparse Representation (Signals and Communication Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 113.18
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Condition: New. pp. 104.
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US$ 109.48
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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US$ 70.38
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Add to basketTaschenbuch. Condition: 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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Maximum-Likelihood Deconvolution : A Journey into Model-Based Signal Processing
Published by Springer-Verlag New York Inc., 1989
ISBN 10: 0387972080 ISBN 13: 9780387972084
Language: English
US$ 44.36
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Digital Signal Processing with Matlab Examples, Volume 3: Model-Based Actions and Sparse Representation (Signals and Communication Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 157.49
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Digital Signal Processing With Matlab Examples : Model-based Actions and Sparse Representation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 157.48
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Digital Signal Processing with Matlab Examples, Volume 3 : Model-Based Actions and Sparse Representation
Published by Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811096449 ISBN 13: 9789811096440
Language: English
US$ 115.30
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressedsensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.
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Digital Signal Processing With Matlab Examples : Model-based Actions and Sparse Representation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Model-Based Signal Processing
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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US$ 212.07
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Model-Based Signal Processing (Hardcover)
Published by John Wiley & Sons Inc, New York, 2005
ISBN 10: 0471236322 ISBN 13: 9780471236320
Language: English
First Edition
Hardcover. Condition: new. Hardcover. A unique treatment of signal processing using a model-based perspective Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool. Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing. The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems. * Unified treatment of well-known signal processing models including physics-based model sets * Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis * Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed * References lead to more in-depth coverage of specialized topics * Problem sets test readers' knowledge and help them put their new skills into practice The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department Model-Based Signal Processing develops the "model-based approach" to signal processing for a variety of useful model sets including the popularly termed "physics-based" models. It presents a unique viewpoint of signal processing from the model-based perspective. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. pp. xxi + 677 Index.
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Model-Based Signal Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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