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Fundamentals of Statistical Signal Processing, Volume III (Paperback): Practical Algorithm Development

Steven M. Kay
4.9/5 (20250 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:"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 monitoringExercises are presented throughout, with full solutions.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).We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Fundamentals of Statistical Signal Processing, Volume III (Paperback): Practical Algorithm Development. To get started finding Fundamentals of Statistical Signal Processing, Volume III (Paperback): Practical Algorithm Development, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
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Format
PDF, EPUB & Kindle Edition
Publisher
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Release
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ISBN
0132808064

Fundamentals of Statistical Signal Processing, Volume III (Paperback): Practical Algorithm Development

Steven M. Kay
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: "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 monitoringExercises are presented throughout, with full solutions.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).We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Fundamentals of Statistical Signal Processing, Volume III (Paperback): Practical Algorithm Development. To get started finding Fundamentals of Statistical Signal Processing, Volume III (Paperback): Practical Algorithm Development, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
—
Format
PDF, EPUB & Kindle Edition
Publisher
—
Release
—
ISBN
0132808064

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