Fixed Interval Smoothing for State Space Models

Name: Fixed Interval Smoothing for State Space Models
Brand: Springer, Berlin
SKU: 9781461356806
Price: 106.26 EUR
Availability: InStock

Autor: Howard L. Weinert

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 13-18 dní

106.26 €

Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has b...

Informácie o knihe

Autor

Howard L. Weinert

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2013

Stránok

119

EAN

9781461356806

ISBN

1461356806

Enbook ID

06796471

Vydavateľ

Springer, Berlin

Hmotnosť

213

Rozmery

155 x 235 x 7

Kompletný popis

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: §includes new material on interpolation, fast square root implementations, and boundary value models; §is the first book devoted to smoothing; §contains an annotated bibliography of smoothing literature; §uses simple notation and clear derivations; §compares algorithms from a computational perspective; §identifies a best algorithm. Fixed Interval Smoothing for State Space Models will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics.

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Fixed Interval Smoothing for State Space Models

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