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Fundamentals of Statistical Signal Processing, Volume 3
The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms In Fundamentals of Statistical Signal Processing, Volume...
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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
Author: Steven Kay
Publisher: Pearson
Published: 11/29/2017
Pages: 504
Binding Type: Paperback
Weight: 1.80lbs
Size: 9.00h x 6.90w x 1.10d
ISBN: 9780134878409
About the Author
Steven M. Kay is one of the world's leading experts in statistical signal processing. Currently Professor of Electrical Engineering at the University of Rhode Island, Kingston, he has consulted for numerous industrial concerns, the Air Force, Army, and Navy, and has taught short courses to scientists and engineers at NASA and the CIA. Dr. Kay is a Fellow of the IEEE, and a member of Tau Beta Pi, and Sigma Xi and Phi Kappa Phi. He has received the Education Award for "outstanding contributions in education and in writing scholarly book and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.
- 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
Author: Steven Kay
Publisher: Pearson
Published: 11/29/2017
Pages: 504
Binding Type: Paperback
Weight: 1.80lbs
Size: 9.00h x 6.90w x 1.10d
ISBN: 9780134878409
About the Author
Steven M. Kay is one of the world's leading experts in statistical signal processing. Currently Professor of Electrical Engineering at the University of Rhode Island, Kingston, he has consulted for numerous industrial concerns, the Air Force, Army, and Navy, and has taught short courses to scientists and engineers at NASA and the CIA. Dr. Kay is a Fellow of the IEEE, and a member of Tau Beta Pi, and Sigma Xi and Phi Kappa Phi. He has received the Education Award for "outstanding contributions in education and in writing scholarly book and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.
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