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Fundamentals of Statistical Signal Processing, Volume 3 (Paperback)
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Fundamentals of Statistical Signal Processing, Volume 3 (Paperback)
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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 available for download. 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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