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Model-based signal processing / (Record no. 40062)

MARC details
000 -LEADER
fixed length control field	07270nam a2201153 i 4500
001 - CONTROL NUMBER
control field	5238083
003 - CONTROL NUMBER IDENTIFIER
control field	IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20230927112344.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field	m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field	cr \|n\|\|\|\|\|\|\|\|\|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	151221s2005 njua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9780471732679
Qualifying information	ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	9780471236320
Qualifying information	print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	0471236322
Qualifying information	paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	0471732664
Qualifying information	electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	9780471732662
Qualifying information	electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	0471732672
Qualifying information	electronic
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1002/0471732672
Source of number or code	doi
035 ## - SYSTEM CONTROL NUMBER
System control number	(CaBNVSL)mat05238083
035 ## - SYSTEM CONTROL NUMBER
System control number	(IDAMS)0b00006481096014
040 ## - CATALOGING SOURCE
Original cataloging agency	CaBNVSL
Language of cataloging	eng
Description conventions	rda
Transcribing agency	CaBNVSL
Modifying agency	CaBNVSL
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	621.382/2
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Candy, J. V.,
Relator term	author.
245 10 - TITLE STATEMENT
Title	Model-based signal processing /
Statement of responsibility, etc.	James V. Candy.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer	IEEE Press,
Date of production, publication, distribution, manufacture, or copyright notice	c2006.
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	[Piscataqay, New Jersey] :
Name of producer, publisher, distributor, manufacturer	IEEE Xplore,
Date of production, publication, distribution, manufacture, or copyright notice	[2005]
300 ## - PHYSICAL DESCRIPTION
Extent	1 PDF (xxi, 677 pages) :
Other physical details	illustrations.
336 ## - CONTENT TYPE
Content type term	text
Source	rdacontent
337 ## - MEDIA TYPE
Media type term	electronic
Source	isbdmedia
338 ## - CARRIER TYPE
Carrier type term	online resource
Source	rdacarrier
490 1# - SERIES STATEMENT
Series statement	Adaptive and learning systems for signal processing, communications and control series ;
Volume/sequential designation	36
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note	Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Preface. -- Acknowledgments. -- 1. Introduction. -- 2. Discrete Random Signals ans Systems. -- 3. Estimation Theory. -- 4. AR, MA, ARMAX, Lattice, Exponential, Wave Model-Based Processors. -- 5. Linear State-Space Model-Based Processors. -- 6. Nonlinear State-Space Model-Based Processors. -- 7. Adaptive AR, MA, ARMAX, Exponential Model-Based Processors. -- 8. Adaptive State-Space Model-Based Processors. -- 9. Applied Physics-Based Processors. -- Appendix A: Probability and Statistics Overview. -- Appendix B: Sequential MBP and UD-Factorization. -- Appendix C: SSpack_PC: An Interactive Model-Based Processing Software Package. -- Index.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access	Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc.	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.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note	Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note	Mode of access: World Wide Web
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note	Description based on PDF viewed 12/21/2015.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Signal processing
General subdivision	Digital techniques
Form subdivision	Textbooks.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term	Electronic books.
695 ## -
--	Adaptation model
695 ## -
--	Adaptive control
695 ## -
--	Adaptive filters
695 ## -
--	Algorithm design and analysis
695 ## -
--	Analytical models
695 ## -
--	Approximation algorithms
695 ## -
--	Artificial neural networks
695 ## -
--	Atmospheric modeling
695 ## -
--	Computational modeling
695 ## -
--	Convergence
695 ## -
--	Cooperative systems
695 ## -
--	Coordinate measuring machines
695 ## -
--	Covariance matrix
695 ## -
--	Data mining
695 ## -
--	Data models
695 ## -
--	Distribution functions
695 ## -
--	Equations
695 ## -
--	Estimation
695 ## -
--	Estimation theory
695 ## -
--	Fourier series
695 ## -
--	Frequency domain analysis
695 ## -
--	Indexes
695 ## -
--	Jacobian matrices
695 ## -
--	Joints
695 ## -
--	Kalman filters
695 ## -
--	Laplace equations
695 ## -
--	Lattices
695 ## -
--	Mathematical model
695 ## -
--	Measurement uncertainty
695 ## -
--	Measurement units
695 ## -
--	Noise measurement
695 ## -
--	Pollution measurement
695 ## -
--	Prediction algorithms
695 ## -
--	Predictive models
695 ## -
--	Probabilistic logic
695 ## -
--	Program processors
695 ## -
--	Radar cross section
695 ## -
--	Radar tracking
695 ## -
--	Random variables
695 ## -
--	Signal processing
695 ## -
--	Signal processing algorithms
695 ## -
--	Signal to noise ratio
695 ## -
--	Stochastic processes
695 ## -
--	Taylor series
695 ## -
--	Technological innovation
695 ## -
--	Time measurement
695 ## -
--	Trajectory
695 ## -
--	Transforms
695 ## -
--	Vectors
695 ## -
--	Vehicle dynamics
695 ## -
--	Vehicles
695 ## -
--	Yttrium
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	John Wiley & Sons,
Relator term	publisher.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	IEEE Xplore (Online service),
Relator term	distributor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Print version:
International Standard Book Number	9780471236320
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title	Adaptive and learning systems for signal processing, communications, and control ;
Volume/sequential designation	36
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified	Abstract with links to resource
Uniform Resource Identifier	<a href="https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5238083">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5238083</a>

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