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Linear Stochastic Systems - A Geometric Approach to Modeling, Estimation and Identification (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R4,725
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Linear Stochastic Systems - A Geometric Approach to Modeling, Estimation and Identification (Paperback, Softcover reprint of the original 1st ed. 2015)
Series: Series in Contemporary Mathematics, 1
Expected to ship within 10 - 15 working days
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This book presents a treatise on the theory and modeling of
second-order stationary processes, including an exposition on
selected application areas that are important in the engineering
and applied sciences. The foundational issues regarding stationary
processes dealt with in the beginning of the book have a long
history, starting in the 1940s with the work of Kolmogorov, Wiener,
Cramér and his students, in particular Wold, and have since been
refined and complemented by many others. Problems concerning the
filtering and modeling of stationary random signals and systems
have also been addressed and studied, fostered by the advent
of modern digital computers, since the fundamental work of
R.E. Kalman in the early 1960s. The book offers a unified and
logically consistent view of the subject based on simple ideas from
Hilbert space geometry and coordinate-free thinking. In this
framework, the concepts of stochastic state space and state space
modeling, based on the notion of the conditional independence of
past and future flows of the relevant signals, are revealed to be
fundamentally unifying ideas. The book, based on over 30 years of
original research, represents a valuable contribution that will
inform the fields of stochastic modeling, estimation, system
identification, and time series analysis for decades to come. It
also provides the mathematical tools needed to grasp and analyze
the structures of algorithms in stochastic systems theory.
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