(0) items

Fundamentals of Statistical Signal Processing, Volume III : Practical Algorithm Development,9780132808033
This item qualifies for


Your order must be $59 or more, you must select US Postal Service Shipping as your shipping preference, and the "Group my items into as few shipments as possible" option when you place your order.

Bulk sales, PO's, Marketplace Items, eBooks, Apparel, and DVDs not included.

Fundamentals of Statistical Signal Processing, Volume III : Practical Algorithm Development



Pub. Date:
Prentice Hall
List Price: $137.00

Rent Textbook


Buy New Textbook

Currently Available, Usually Ships in 24-48 Hours



Used Textbook

We're Sorry
Sold Out

More New and Used
from Private Sellers
Starting at $127.41
See Prices

Questions About This Book?

Why should I rent this book?
Renting is easy, fast, and cheap! Renting from can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.
How do rental returns work?
Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!
What version or edition is this?
This is the 1st edition with a publication date of 3/26/2013.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself.


This practical, hands-on book is designed to help scientists, engineers, and students gain deeper expertise and more reliable intuition into the effective practice of statistical signal processing. The third volume in Dr. Steven Kay's internationally respected series, this book brings his earlier coverage of theory into focus by applying it to today's practical projects of interest. It provides a complete and practical methodology for solving signal processing problems and design signal processing systems, as well as extensive features for hands on practice -- including block diagrams, MATLAB programs, illustrations, exercises, case studies, and more. Drawing on more than 35 years of signal processing experience, Dr. Kay guides readers in: * Mastering the mathematical modeling, computer simulation, and performance evaluation techniques needed to develop effective signal processing algorithms * Assimilating and practicing common tools, including useful analytical results and MATLAB implementations for evaluation and testing * Identifying the specific approaches and algorithms that work best in practice: those that have stood the test of time * Successfully pplying the book's methods to real-world problems * Discovering extensions often required in practice * Translating math into code, in stages ranging from simple to complex * Verifying code integrity through test cases

Author Biography

Steven Kay was born in Newark, NJ, on April 5, 1951. He received the B.E. degree from Stevens Institute of Technology, Hoboken, NJ in 1972, the M.S. degree from Columbia University, New York, NY, in 1973, and the Ph.D. degree from Georgia Institute of Technology, Atlanta, GA, in 1980, all in electrical engineering.


From 1972 to 1975, he was with Bell Laboratories, Holmdel, NJ, where he was involved with transmission planning for speech communications and simulation and subjective testing of speech processing algorithms.


From 1975 to 1977, he attended Georgia Institute of Technology to study communication theory and digital signal processing. From 1977 to 1980, he was with the Submarine Signal Division, Portsmouth, RI, where he engaged in research on autoregressive spectral estimation and the design of sonar systems. He is presently a Professor of Electrical Engineering at the University of Rhode Island, Kingston, and a consultant to numerous industrial concerns, the Air Force, the Army, and the Navy.


As a leading expert in statistical signal processing, he has been invited to teach short courses to scientists and engineers at government laboratories, including NASA and the CIA. He has written numerous journal and conference papers and is a contributor to several edited books. He is the author of the textbooks Modern Spectral Estimation (Prentice-Hall, 1988), Fundamentals of Statistical Signal Processing, Vol. I: Estimation Theory (Prentice-Hall, 1993), Fundamentals of Statistical Signal Processing, Vol. II: Detection Theory (Prentice-Hall, 1998), and Intuitive Probability and Random Processes using MATLAB (Springer, 2005).  His current interests are spectrum analysis, detection and estimation theory, and statistical signal processing.


Dr. Kay is a Fellow of the IEEE, and a member of Tau Beta Pi and Sigma Xi. He has been a distinguished lecturer for the IEEE signal processing society. He has been an associate editor for the IEEE Signal Processing Letters and the IEEE Transactions on Signal Processing. He has received the IEEE signal processing society education award “for outstanding contributions in education and in writing scholarly books and texts...”


Dr. Kay has recently been included on a list of the 250 most cited researchers in the world in engineering.

Table of Contents




Part 1. Methodology and General Approaches

1. Overall Approach With Block Diagram Roadmap

2. Mathematical Modeling

3. General Methods, Assumptions, and Performance

4. Testing and Evaluation


Part 2. Specific Problems and Methods

5. Solving Estimation Problems

6. Solving Detection Problems

7. Doing Spectral Analysis


Part 3. Real-World Case Studies

8. Radar/Sonar

9. Biomedical

10. Communications


Part 4. Some Extensions Required in Practice

11. Continuous Signals

12. Multivariate or Multichannel

13. Two-Dimensional Signals

14. Complex Signals



Please wait while the item is added to your cart...