Fundamentals of Statistical Processing: Estimation Theory, Volume 1

By Steven M. Kay

Book Overview

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. KEY TOPICS: Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -- radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

• Format: Hardcover
• Language: English
• ISBN: 0133457117
• ISBN13: 9780133457117
• Release Date: April 1993
• Publisher: Pearson
• Length: 608 Pages
• Weight: 2.10 lbs.
• Dimensions: 1.1" x 7.3" x 9.5"