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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