Fundamentals of Statistical Signal Processing, Volume II: Detection Theory: Detection Theory Vol 2 (Prentice-Hall Signal Processing Series)

 
9780135041352: Fundamentals of Statistical Signal Processing, Volume II: Detection Theory: Detection Theory Vol 2 (Prentice-Hall Signal Processing Series)
Reseña del editor:

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).

Biografía del autor:

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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Kay, Steven M.
Editorial: Lebanon, Indiana, U.S.A.: Prentice Hall (1998)
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Descripción Lebanon, Indiana, U.S.A.: Prentice Hall, 1998. Hardcover. Estado de conservación: New. Ship out 1 business day,Brand new,US edition, (Express shipping worldwide) 1-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either USA or Asia. Nº de ref. de la librería ABE-5146965115

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Steven M. Kay
Editorial: Pearson Education (US), United States (1998)
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Descripción Pearson Education (US), United States, 1998. Hardback. Estado de conservación: New. New.. 239 x 180 mm. Language: English . Brand New Book. 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). Nº de ref. de la librería AAB9780135041352

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Descripción Prentice Hall. Estado de conservación: New. Brand New. Nº de ref. de la librería 013504135X

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Descripción Pearson Education, 1998. HRD. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería IB-9780135041352

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Steven M. Kay
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Descripción Pearson Education (US), United States, 1998. Hardback. Estado de conservación: New. New.. 239 x 180 mm. Language: English . Brand New Book. 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). Nº de ref. de la librería AAB9780135041352

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Steven Kay
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Descripción Pearson Education, 1998. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería IB-9780135041352

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Descripción Pearson Education (US). Hardback. Estado de conservación: new. BRAND NEW, Fundamentals of Statistical Signal Processing: Detection Theory: v.2: Detection Theory, Steven M. Kay, 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). Nº de ref. de la librería B9780135041352

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Steven M. Kay
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Descripción Prentice Hall, 1998. Hardcover. Estado de conservación: Brand New. 1st edition. 560 pages. 9.75x7.50x1.00 inches. In Stock. Nº de ref. de la librería z-013504135X

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Descripción Prentice Hall. Hardcover. Estado de conservación: New. 013504135X BRAND NEW W/FAST SHIPPING! This item is: Fundamentals of Statistical Signal Processing, Volume II: Detection Theory, 1st Ed., 1998, by Kay, Steven M.; FORMAT: Hardcover; ISBN: 9780135041352. Choose Expedited for fastest shipping! Our 98%+ rating proves our commitment! We cannot ship to PO Boxes/APO address. To avoid ordering the wrong item, please check your item's ISBN number!. Nº de ref. de la librería P9780135041352

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Editorial: Pearson Education (US) 1998-01-27, Upper Saddle River (1998)
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Descripción Pearson Education (US) 1998-01-27, Upper Saddle River, 1998. hardback. Estado de conservación: New. Nº de ref. de la librería 9780135041352

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