Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development (Prentice-Hall Signal Processing Series)
| Author | : | |
| Rating | : | 4.98 (599 Votes) |
| Asin | : | 013280803X |
| Format Type | : | paperback |
| Number of Pages | : | 496 Pages |
| Publish Date | : | 2013-07-15 |
| Language | : | English |
DESCRIPTION:
Kay is a Fellow of the IEEE, and a member of Tau Beta Pi, and Sigma Xi and Phi Kappa Phi. About the AuthorSteven M. Dr. 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. He has received the Education Award for “outstanding contributions in education and in writing scholarly book and texts…” from the IEEE Signal Pr
How to approach signal processing problems Amazon Customer I used Dr. Kay's other two textbooks in classes during graduate school quite a few years ago. Those two were a bit theoretical, but established a very good groundwork. This textbook is more practical, including a section on just generally how to approach signal processing or analysis problems. I have used that section to teach some undergrads how to approach this type of problem.Aside from the above, my primary goal with this book is to find any useful "rules of thumb", or "gems" that make data analysis or signal processing easier to do practically. So far, I am only about a quarter through the book (I'm just reading as I have ti. "Perfect" according to Christian Reyes. Very good service and product.Book has a complete information about modulation theory.I recommend this book for students of telecommunications. Five Stars good
Kay is a Fellow of the IEEE, and a member of Tau Beta Pi, and Sigma Xi and Phi Kappa Phi. 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. Kay is one of the world’s leading experts in statistical signal processing. Dr. S
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. 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,