Fundamentals of Statistical Signal Processing: Practical Algorithm Development: 3

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9780132808033: Fundamentals of Statistical Signal Processing: Practical Algorithm Development: 3

The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay's three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems. Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have "stood the test of time," offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB(R) code and verifying solutions. Topics covered include * Step by step approach to the design of algorithms * Comparing and choosing signal and noise models * Performance evaluation, metrics, tradeoffs, testing, and documentation * Optimal approaches using the "big theorems" * Algorithms for estimation, detection, and spectral estimation * Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring Exercises are presented throughout, with full solutions, and executable MATLAB code that implements all the algorithms, is provided on the accompanying CD. This new volume is invaluable to engineers, scientists, and advanced students in every discipline that relies on signal processing; researchers will especially appreciate its timely overview of the state of the practical art. Volume III complements Dr. Kay's Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7), and Volume II: Detection Theory (Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2).

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by Steven Kay (Author)
ISBN 10: 013280803X ISBN 13: 9780132808033
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Descrizione libro Soft cover. Condizione libro: New. Ship out 1-2 business day,Brand new,** This is an international edition ** ,different ISBN, cover, softcover, , Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee within USA, canada, Most Europe country, Australia, kf. Codice libro della libreria ABE-10237001799

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Steven M. Kay
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Descrizione libro Pearson Education (US), United States, 2013. Mixed media product. Condizione libro: New. 234 x 180 mm. Language: English . Brand New Book. The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay s three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems. Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have stood the test of time, offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB(R) code and verifying solutions. Topics covered include * Step by step approach to the design of algorithms * Comparing and choosing signal and noise models * Performance evaluation, metrics, tradeoffs, testing, and documentation * Optimal approaches using the big theorems * Algorithms for estimation, detection, and spectral estimation * Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring Exercises are presented throughout, with full solutions, and executable MATLAB code that implements all the algorithms, is provided on the accompanying CD. This new volume is invaluable to engineers, scientists, and advanced students in every discipline that relies on signal processing; researchers will especially appreciate its timely overview of the state of the practical art. Volume III complements Dr. Kay s Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7), and Volume II: Detection Theory (Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2). Codice libro della libreria AAK9780132808033

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Steven M. Kay
Editore: Pearson Education (US), United States (2013)
ISBN 10: 013280803X ISBN 13: 9780132808033
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Descrizione libro Pearson Education (US), United States, 2013. Mixed media product. Condizione libro: New. 234 x 180 mm. Language: English . Brand New Book. The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay s three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems. Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have stood the test of time, offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB(R) code and verifying solutions. Topics covered include * Step by step approach to the design of algorithms * Comparing and choosing signal and noise models * Performance evaluation, metrics, tradeoffs, testing, and documentation * Optimal approaches using the big theorems * Algorithms for estimation, detection, and spectral estimation * Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring Exercises are presented throughout, with full solutions, and executable MATLAB code that implements all the algorithms, is provided on the accompanying CD. This new volume is invaluable to engineers, scientists, and advanced students in every discipline that relies on signal processing; researchers will especially appreciate its timely overview of the state of the practical art. Volume III complements Dr. Kay s Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7), and Volume II: Detection Theory (Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2). Codice libro della libreria AAK9780132808033

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Steven M. Kay
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ISBN 10: 013280803X ISBN 13: 9780132808033
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Descrizione libro Pearson Education (US) 2013-03-26, Upper Saddle River, 2013. multimedia item. Condizione libro: New. Codice libro della libreria 9780132808033

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Steven Kay
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Descrizione libro Pearson Education, 2013. UNK. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days. Established seller since 2000. Codice libro della libreria IB-9780132808033

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Steven Kay
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Descrizione libro Pearson Education, 2013. UNK. Condizione libro: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Codice libro della libreria IB-9780132808033

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Steven M. Kay
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Descrizione libro Prentice Hall International Apr 2013, 2013. Buch. Condizione libro: Neu. 237x179x30 mm. Neuware - In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay's three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems. Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have 'stood the test of time,' offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB ® code and verifying solutions. 496 pp. Englisch. Codice libro della libreria 9780132808033

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Steven M. Kay
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Descrizione libro Prentice Hall International Apr 2013, 2013. Buch. Condizione libro: Neu. 237x179x30 mm. Neuware - In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay's three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems. Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have 'stood the test of time,' offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB ® code and verifying solutions. 496 pp. Englisch. Codice libro della libreria 9780132808033

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Kay, Steven M.
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Descrizione libro Prentice Hall, 2013. Hardcover. Condizione libro: New. Codice libro della libreria 013280803X

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Steven M. Kay
Editore: Prentice Hall International Apr 2013 (2013)
ISBN 10: 013280803X ISBN 13: 9780132808033
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Descrizione libro Prentice Hall International Apr 2013, 2013. Buch. Condizione libro: Neu. 237x179x30 mm. Neuware - In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay's three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems. Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have 'stood the test of time,' offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB ® code and verifying solutions. 496 pp. Englisch. Codice libro della libreria 9780132808033

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