Modelling and Application of Stochastic Processes
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Published By Springer US

9781461294009, 9781461322672

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Realization and Reduction of S.I.S.O. Nonminimum Phase Stochastic Systems

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_8 ◽

1986 ◽

pp. 193-214 ◽

Cited By ~ 1

Author(s):

Jitendra K. Tugnait

Keyword(s):

Stochastic Systems ◽

Nonminimum Phase

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The Scattering Matrix Associated with a Stationary Stochastic Process: System Theoretic Properties and Role in Realization

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_7 ◽

1986 ◽

pp. 155-191

Author(s):

Y. Avniel

Keyword(s):

Stochastic Process ◽

Scattering Matrix ◽

Stationary Stochastic Process ◽

Process System

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Finite-Data Algorithms for Approximate Stochastic Realization

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_5 ◽

1986 ◽

pp. 105-122 ◽

Cited By ~ 2

Author(s):

Richard J. Vaccaro

Keyword(s):

Stochastic Realization ◽

Finite Data

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Smoothing with Blackouts

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_11 ◽

1986 ◽

pp. 273-278 ◽

Cited By ~ 1

Author(s):

Howard L. Weinert ◽

Edward S. Chornoboy

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Stochastic Bilinear Models and Estimators with Nonlinear Observation Feedback

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_12 ◽

1986 ◽

pp. 279-288

Author(s):

R. R. Mohler ◽

W. J. Kolodziej

Keyword(s):

Bilinear Models ◽

Nonlinear Observation

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On Stochastic Bilinear Systems

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_9 ◽

1986 ◽

pp. 215-241 ◽

Cited By ~ 4

Author(s):

Arthur E. Frazho

Keyword(s):

Bilinear Systems

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Model Reduction via Balancing, and Connections with other Methods

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_6 ◽

1986 ◽

pp. 123-154 ◽

Cited By ~ 3

Author(s):

Erik I. Verriest

Keyword(s):

Model Reduction

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Markov Random Fields for Image Modelling & Analysis

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_10 ◽

1986 ◽

pp. 243-272 ◽

Cited By ~ 28

Author(s):

Fernand S. Cohen

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Modelling Analysis ◽

Image Modelling

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Generalized Principal Components Analysis and its Application in Approximate Stochastic Realization

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_4 ◽

1986 ◽

pp. 75-104 ◽

Cited By ~ 7

Author(s):

K. S. Arun ◽

S. Y. Kung

Keyword(s):

Principal Components Analysis ◽

Principal Components ◽

Stochastic Realization ◽

Components Analysis

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Reduced-Order Modelling of Stochastic Processes with Applications to Estimation

Modelling and Application of Stochastic Processes ◽

10.1007/978-1-4613-2267-2_3 ◽

1986 ◽

pp. 43-74

Author(s):

Uday B. Desai

Keyword(s):

Stochastic Processes ◽

Reduced Order ◽

Reduced Order Modelling

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Modelling and Application of Stochastic ProcessesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

Realization and Reduction of S.I.S.O. Nonminimum Phase Stochastic Systems

The Scattering Matrix Associated with a Stationary Stochastic Process: System Theoretic Properties and Role in Realization

Finite-Data Algorithms for Approximate Stochastic Realization

Smoothing with Blackouts

Stochastic Bilinear Models and Estimators with Nonlinear Observation Feedback

On Stochastic Bilinear Systems

Model Reduction via Balancing, and Connections with other Methods

Markov Random Fields for Image Modelling & Analysis

Generalized Principal Components Analysis and its Application in Approximate Stochastic Realization

Reduced-Order Modelling of Stochastic Processes with Applications to Estimation

Modelling and Application of Stochastic Processes
Latest Publications