Fundamentals of Statistical Signal Processing, Volume II: Detection Theory
| Author | : | |
| Rating | : | 4.18 (962 Votes) |
| Asin | : | 013504135X |
| Format Type | : | paperback |
| Number of Pages | : | 672 Pages |
| Publish Date | : | 2016-05-20 |
| Language | : | English |
DESCRIPTION:
STEVEN M. . KAY is Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing
Arun V. Subramanian said "Textbook Binding" is rather poor. After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of "Textbook Binding" is rather poor Arun V. Subramanian After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of 4 problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve 4 stars. But the lousy binding pulls down its rating to 2 stars.. problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve "Textbook Binding" is rather poor Arun V. Subramanian After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of 4 problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve 4 stars. But the lousy binding pulls down its rating to 2 stars.. stars. But the lousy binding pulls down its rating to ""Textbook Binding" is rather poor" according to Arun V. Subramanian. After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of "Textbook Binding" is rather poor Arun V. Subramanian After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of 4 problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve 4 stars. But the lousy binding pulls down its rating to 2 stars.. problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve "Textbook Binding" is rather poor Arun V. Subramanian After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of 4 problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve 4 stars. But the lousy binding pulls down its rating to 2 stars.. stars. But the lousy binding pulls down its rating to 2 stars.. stars.. If you want to learn detection theory get this book. Christopher P. Carbone This book presents the fundamental ideas in detection theory (Hypothesis testing for you math types) in a very accessible way. It was one of the few textbooks I could read without feeling like I should be taking a class to go along with it. First the book starts off with a short chapter explaining what detection theory is. This chapter is so well written and illustrated that I've used it to explain to my friends what it is I do at work. This type of very good intro. The best textbook in Estimation Theory Steven Kay has done a superb job. His coverage of different aspects of estimation theory make this book an excellent reference for the working engineer, as well as a great college textbook. All the topics are well covered, there are meaningful examples that apply the theory to different aspects of signal processing, and the problem sets are very useful. Also, the addition of small appendixes to the end of some chapters is very unique. They usually contain additiona
1: Estimation Theory (Prentice Hall PTR, 1993, ISBN: 0-13-345711-7).. This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. These chapters will be especially useful for those building detectors that must work with real, physical data. Kay's Fundamentals of Statistical Signal Processing, Vol. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar/radar systems. Designed for practicing electrical engineers, researchers, and advanced students, it is an ideal complement to Steven M. Start with a quick review of the fundamental issues associated with mathematical detection, as well as the most important probability density functions and their properties. The author then presents exceptionally detailed coverage of composite hypothesis testing to accommodate unknown signal and noise parameters. The most comprehensive overview of signal detection availabl
The particular audience we have in mind is the community involved in the design and implementation of signal processing algorithms. Steven M. The author would like to acknowledge the contributions of the many people who over the years have provided stimulating discussions of research problems, opportunities to apply the results of that research, and support for conducting research. Mook and S. This book is an outgrowth of a one-semester graduate level course on detection theory given at the University of Rhode Island. Henceforth, it will be referred to as Kay-I 199