Introduction to Optimal Estimation

by Edward W. Kamen and Jonathan K. Su

A handy technical introduction to the latest theories and techniques of optimal estimation. It provides readers with extensive coverage of Wiener and Kalman filtering along with a development of least squares estimation, maximum likelihood and maximum a posteriori estimation based on discrete-time measurements. Much emphasis is placed on how they interrelate and fit together to form a systematic development of optimal estimation. Examples and exercises...

• Format: Paperback
• Language: English
• ISBN: 185233133X
• ISBN13: 9781852331337
• Release Date: September 1999
• Publisher: Springer
• Length: 380 Pages
• Weight: 1.30 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"