LEADER 00000cam a2200529 a 4500 001 850699023 003 OCoLC 005 20240129213017.0 006 m o d 007 cr unu|||||||| 008 130625s2013 njua ob 001 0 eng d 020 9780132808071|q(electronic bk.) 020 0132808072|q(electronic bk.) 029 1 AU@|b000052007753 029 1 DEBBG|bBV041430472 029 1 DEBSZ|b398262594 029 1 GBVCP|b773351280 035 (OCoLC)850699023 037 CL0500000226|bSafari Books Online 040 UMI|beng|epn|cUMI|dDEBSZ|dOCLCO|dOCLCQ|dOCLCO|dOCLCF |dOCLCO|dOCLCQ|dOCLCO|dOCLCQ|dN$T|dOCLCQ|dCEF|dC6I|dCNCEN |dOCLCO|dOCLCQ|dOCLCO|dOCLCQ 049 INap 082 04 621.3822 082 04 621.3822|223 099 eBook O’Reilly for Public Libraries 100 1 Kay, Steven M.,|d1951- 245 10 Fundamentals of statistical signal processing.|nVolume III, |pPractical algorithm development /|cSteven M. Kay. |h[O'Reilly electronic resource] 246 30 Practical algorithm development 260 Upper Saddle River, NJ :|bPrentice Hall,|c2013. 300 1 online resource (1 volume) :|billustrations 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 504 Includes bibliographical references and index. 520 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® 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. 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). 588 0 Print version record. 590 O'Reilly|bO'Reilly Online Learning: Academic/Public Library Edition 650 0 Signal processing|xStatistical methods. 650 0 Signal detection. 650 6 Traitement du signal|xMéthodes statistiques. 650 6 Détection du signal. 650 7 Signal detection|2fast 650 7 Signal processing|xStatistical methods|2fast 776 08 |iPrint version:|aKay, Steven M., 1951-|tFundamentals of statistical signal processing. Volume III, Practical algorithm development.|dUpper Saddle River, New Jersey : Prentice Hall, 2013|z9780132808033|w(OCoLC)836753337 856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https:// learning.oreilly.com/library/view/~/9780132808057/?ar |zAvailable on O’Reilly for Public Libraries 938 EBSCOhost|bEBSC|n1597786 994 92|bJFN