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The most comprehensive overview of signal detection available.

This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar/radar systems.

Start with a quick review of the fundamental issues associated with mathematical detection, as well as the most important probability density functions and their properties. Next, review Gaussian, Chi-Squared, F, Rayleigh, and Rician PDFs, quadratic forms of Gaussian random variables, asymptotic Gaussian PDFs, and Monte Carlo Performance Evaluations.

Three chapters introduce the basics of detection based on simple hypothesis testing, including the Neyman-Pearson Theorem, handling irrelevant data, Bayes Risk, multiple hypothesis testing, and both deterministic and random signals.

The author then presents exceptionally detailed coverage of composite hypothesis testing to accommodate unknown signal and noise parameters. These chapters will be especially useful for those building detectors that must work with real, physical data. Other topics covered include:

• Detection in nonGaussian noise, including nonGaussian noise characteristics, known deterministic signals, and deterministic signals with unknown parameters
• Detection of model changes, including maneuver detection and time-varying PSD detection
• Complex extensions, vector generalization, and array processing

The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Designed for practicing electrical engineers, researchers, and advanced students, it is an ideal complement to Steven M. Kay's Fundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory (Prentice Hall PTR, 1993, ISBN: 0-13-345711-7).

• Sales Rank: #99502 in Books
• Published on: 1998-02-06
• Original language: English
• Number of items: 1
• Dimensions: 9.30" h x 1.40" w x 7.20" l, 2.73 pounds
• Binding: Hardcover
• 672 pages

From the Inside Flap
Preface

This text is the second volume of a series of books addressing statistical signal processing. The first volume, Fundamentals of Statistical Signal Processing: Estimation Theory, was published in 1993 by Prentice-Hall, Inc. Henceforth, it will be referred to as Kay-I 1993.

This second volume, entitled Fundamentals of Statistical Signal Processing: Detection Theory, is the application of statistical hypothesis testing to the detection of signals in noise. The series has been written to provide the reader with a broad introduction to the theory and application of statistical signal processing. Hypothesis testing is a subject that is standard fare in the many books available dealing with statistics.

These books range from the highly theoretical expositions written by statisticians to the more practical treatments contributed by the many users of applied statistics.

This text is an attempt to strike a balance between these two extremes. The particular audience we have in mind is the community involved in the design and implementation of signal processing algorithms. As such, the primary focus is on obtaining optimal detection algorithms that may be implemented on a digital computer. The data sets are therefore assumed to be samples of a continuous-time waveform or a sequence of data points. The choice of topics reflects what we believe to be the important approaches to obtaining an optimal detector and analyzing its performance.

As a consequence, some of the deeper theoretical issues have been omitted with references given instead. It is the author's opinion that the best way to assimilate the material on detection theory is by exposure to and working with good examples. Consequently, there are numerous examples that illustrate the theory and others that apply the theory to actual detection problems of current interest.

We have made extensive use of the MATLAB scientific programming language (Version 4.2b) Footnote: MATLAB is a registered trademark of The MathWorks, Inc. for all computer-generated results. In some cases, actual MATLAB programs have been listed where a program was deemed to be of sufficient utility to the reader.

Additionally, an abundance of homework problems has been included. They range from simple applications of the theory to extensions of the basic concepts. A solutions manual is available from the author. To aid the reader, summary sections have been provided at the beginning of each chapter. Also, an overview of all the principal detection approaches and the rationale for choosing a particular method can be found in Chapter 11.

Detection based on simple hypothesis testing is described in Chapters 3--5, while that based on composite hypothesis testing (to accomodate unknown parameters) is the subject of Chapters 6--9.

Other chapters address detection in nonGaussian noise (Chapter 10), detection of model changes (Chapter 12), and extensions for complex/vector data useful in array processing (Chapter 13). This book is an outgrowth of a one-semester graduate level course on detection theory given at the University of Rhode Island. It includes somewhat more material than can actually be covered in one semester. We typically cover most of Chapters 1--10, leaving the subjects of model change detection and complex data/vector data extensions to the student. It is also possible to combine the subjects of estimation and detection into a single semester course by a judicious choice of material from Volumes I and II.

The necessary background that has been assumed is an exposure to the basic theory of digital signal processing, probability and random processes, and linear and matrix algebra. This book can also be used for self-study and so should be useful to the practicing engineer as well as the student.

The author would like to acknowledge the contributions of the many people who over the years have provided stimulating discussions of research problems, opportunities to apply the results of that research, and support for conducting research.

Thanks are due to my colleagues L. Jackson, R. Kumaresan, L. Pakula, and P. Swaszek of the University of Rhode Island, and L. Scharf of the University of Colorado.

Exposure to practical problems, leading to new research directions, has been provided by H. Woodsum of Sonetech, Bedford, New Hampshire, and by D. Mook and S. Lang of Sanders, a Lockheed-Martin Co., Nashua, New Hampshire.

The opportunity to apply detection theory to sonar and the research support of J. Kelly of the Naval Undersea Warfare Center, J. Salisbury, formerly of the Naval Undersea Warfare Center, and D. Sheldon of the Naval Undersea Warfare Center, Newport, Rhode Island are also greatly appreciated.

Thanks are due to J. Sjogren of the Air Force Office of Scientific Research, whose support has allowed the author to investigate the field of statistical signal processing. A debt of gratitude is owed to all my current and former graduate students. They have contributed to the final manuscript through many hours of pedagogical and research discussions as well as by their specific comments and questions. In particular, P. DjuriÕ{c} of the State University of New York proofread much of the manuscript, and S. Talwalkar of Motorola, Plantation, Florida proofread parts of the manuscript and helped with the finer points of MATLAB.

Steven M. Kay University of Rhode Island Kingston, RI 02881 Email: kay@ele.uri

From the Back Cover
The most comprehensive overview of signal detection available. This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar/radar systems. Start with a quick review of the fundamental issues associated with mathematical detection, as well as the most important probability density functions and their properties. Next, review Gaussian, Chi-Squared, F, Rayleigh, and Rician PDFs, quadratic forms of Gaussian random variables, asymptotic Gaussian PDFs, and Monte Carlo Performance Evaluations. Three chapters introduce the basics of detection based on simple hypothesis testing, including the Neyman-Pearson Theorem, handling irrelevant data, Bayes Risk, multiple hypothesis testing, and both deterministic and random signals. The author then presents exceptionally detailed coverage of composite hypothesis testing to accommodate unknown signal and noise parameters. These chapters will be especially useful for those building detectors that must work with real, physical data. Other topics covered include:

• Detection in nonGaussian noise, including nonGaussian noise characteristics, known deterministic signals, and deterministic signals with unknown parameters
• Detection of model changes, including maneuver detection and time-varying PSD detection
• Complex extensions, vector generalization, and array processing

The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Designed for practicing electrical engineers, researchers, and advanced students, it is an ideal complement to Steven M. Kay's "Fundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory" (Prentice Hall PTR, 1993, ISBN: 0-13-345711-7).

About the Author

STEVEN M. KAY is Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing.

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• Provides numerous exercises and examples throughout.
• Written in a clear, precise style that has been highly praised throughout many editions.

• Sales Rank: #1080894 in Books
• Published on: 1997-01
• Ingredients: Example Ingredients
• Original language: English
• Number of items: 1
• Dimensions: 9.63" h x 1.42" w x 8.21" l, 3.50 pounds
• Binding: Hardcover
• 864 pages

From the Publisher
Long known for its student-friendly approach, the revision of this best–selling book thoroughly covers the fundamentals of circuit theory from both a time–domain and frequency–domain point of view. The third edition of this popular and comprehensive text has been fully updated and modernized to reflect current approaches to the course. It includes a greater emphasis on design, SPICE, and op–amps, so as to better reflect the recent developments in the study of linear circuits. This text provides the student with a solid foundation for future studies in any branch of electrical engineering.

From the Back Cover
The revision of this best–selling book thoroughly covers the fundamentals of circuit theory from both a time–domain and frequency–domain point of view. The third edition of this popular and comprehensive book has been fully updated and modernized to reflect current approaches to the course. It includes a greater emphasis on design, SPICE, and op–amps, so as to better reflect the recent developments in the study of linear circuits.

About the Author
David E. Johnson, Birmingham Southern College
Johnny R. Johnson, University of North Alabama
John L. Hilburn, Microcomputer Systems
Peter D. Scott, SUNY at Buffalo

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• Sales Rank: #2529595 in Books
• Published on: 1997-11
• Original language: English
• Number of items: 1
• Dimensions: 1.90" h x 8.26" w x 10.34" l,
• Binding: Hardcover
• 1264 pages

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• Sales Rank: #795799 in Books
• Brand: Scheiderbauer, Armin/ Colton, C. F. (TRN)
• Published on: 2013-03-20
• Original language: English
• Number of items: 1
• Dimensions: .70" h x 5.70" w x 8.90" l, .70 pounds
• Binding: Paperback
• 224 pages

About the Author
Armin Scheiderbauer was born in 1924, the son of an evangelical pastor. After attending schools in Thuringia, and Stockerau, he was called up in August 1941. He served with distinction on the Eastern Front until 1945, with 252nd Infantry Division, reached the rank of Oberleutnant, was wounded numerous times, and was awrded the Iron Cross 1st Class and close combat clasp. He was wounded and captured by the Red Army in March 1945, returning home in September 1947. In the post-war years he became a senior lawyer in Vienna, and continued his close associations with the evangelical church. He married a doctor, and has one daughter, also a doctor. he now lives in Salzburg, Austria.

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• Sales Rank: #3828297 in Books
• Published on: 1948
• Number of items: 1
• Binding: Hardcover
• 696 pages

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Audible Audiobook

Listening Length: 7 hours and 22 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Audrina Rodriguez

Audible.com Release Date: March 21, 2019

Whispersync for Voice: Ready

Language: English, English

ASIN: B07PYJNXKR

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Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet PDF
Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet EPub
Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet Doc
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Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet PDF

Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet PDF

Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet PDF

Ketogenic Diet + Dash Diet + Mediterranean Diet + Mind Diet: 4 Books in 1 Bundle: The Complete Guide to Eat Healthy and Save Time with Ketogenic Diet, Dash Diet, Medeterean Diet and Mind Diet PDF

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Download Ebook ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing

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Deze Pocket Guide is een beknopte samenvatting van ITIL versie 3. Een slimme, compacte gids over deze toonaangevende standaard op het gebied van IT-Servicemanagement.Wat zijn de essentiële servicemanagement processen? Wat is de ‘lifecycle approach’?

• Amazon Sales Rank: #4286922 in eBooks
• Published on: 2008-11-11
• Released on: 2008-11-11
• Format: Kindle eBook

Review Official ITSMF-I title. --itSMF International

About the Author Jan van Bon is responsible for managing the content of the ITSM Library. Apart from managing large numbers of publications he also advises small and large organizations in quality improvement projects, and he is a respected and accredited trainer.

ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing PDF
ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing EPub
ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing Doc
ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing iBooks
ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing rtf
ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing Mobipocket
ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing Kindle

ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing PDF

ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing PDF

ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing PDF

ITIL V3 - Een Pocketguide (Best Practice Library) (Dutch Edition)By Jan van Bon, Arjen de Jong, Axel Kolthof, Mike Pieper, Ruby Tjassing PDF

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