Fundamentals of Statistical Signal Processing: Detection Theory, Volume 2

By Steven M. Kay

This book focuses on techniques for obtaining optimal detection algorithms for implementation on digital computers.KEY TOPICS: The book explains statistical and signal processing in the context of numerous practical examples, focusing on current detection applications - especially problems in speech and communications. The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Topics covered include: probability density functions and properties; statistical decision theory for both deterministic and random signals; signals with unknown parameters; white and colored Gaussian noise; non-Gaussian noise; detectors; model change detection; complex extensions; vector generalization and array processing. This is the perfect companion to Fundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory.MARKET: For practicing electrical engineers building detectors for real-world applications. Also for electronics students and researchers.

• Format: Hardcover
• Language: English
• ISBN: 013504135X
• ISBN13: 9780135041352
• Release Date: January 1998
• Publisher: Pearson
• Length: 576 Pages
• Weight: 2.45 lbs.
• Dimensions: 1.6" x 7.2" x 9.5"