From
THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
AbeBooks Seller since 14 June 2006
New copy - Usually dispatched within 7-11 working days. Seller Inventory # B9781461356806
Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis.
This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature.
Fixed Interval Smoothing for State Space Models:
Review:
`In the reviewer's opinion, this monograph is pioneering in a fascinating and relatively new field of research. It should prove useful to people working in control theory and doing research on smoothing, and for those who want to choose a smoothing algorithm for a particular application.'
Zdzislaw W. Trzaska, American Mathematical Society
Title: Fixed Interval Smoothing for State Space ...
Publisher: Springer-Verlag New York Inc.
Publication Date: 2012
Binding: Paperback / softback
Condition: New