£119.91

Springer - Modelling and Application of Stochastic Processes

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Description

Master the complexities of stochastic systems with this specialized volume from Springer. While the field of stochastic processes is vast, this book provides a focused study on a specific subset of the subject to ensure depth and clarity for the reader. This text places a strong emphasis on the realization and approximation of stochastic systems. It addresses the growing interest in the stochastic realization problem by gathering recent approaches and algorithms into a single, accessible location. Readers will find detailed information on various methods for realizing linear minimum-phase systems and linear non-minimum-phase systems. Whether you are researching recent algorithmic developments or studying the mathematical foundations of system realization, this book serves as a concentrated resource for understanding how to model and approximate these complex processes effectively.

Key Features

Focused study on the realization and approximation of stochastic systems to provide depth in a vast subject area.

Collection of recent approaches and algorithms designed to solve the stochastic realization problem.

Detailed coverage of various methods for realizing linear minimum-phase systems.

Includes information regarding the realization of linear non-minimum-phase systems.

Provides a concentrated resource for researchers interested in recent developments in stochastic modeling.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
31 October 1986
Listed Since
12 January 2007

Barcode

No barcode data available

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