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Applied and Computational Control, Signals, and Circuits

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Cover of 'Applied and Computational Control, Signals, and Circuits'

Table of Contents

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    Book Overview
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    Chapter 1 Discrete Event Systems: The State of the Art and New Directions
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    Chapter 2 Array Algorithms for H 2 and H ∞ Estimation
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    Chapter 3 Nonuniqueness, Uncertainty, and Complexity in Modeling
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    Chapter 4 Iterative Learning Control: An Expository Overview
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    Chapter 5 FIR Filter Design via Spectral Factorization and Convex Optimization
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    Chapter 6 Algorithms for Subspace State-Space System Identification: An Overview
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    Chapter 7 Iterative Solution Methods for Large Linear Discrete Ill-Posed Problems
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    Chapter 8 Wavelet-Based Image Coding: An Overview
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    Chapter 9 Reduced-Order Modeling Techniques Based on Krylov Subspaces and Their Use in Circuit Simulation
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    Chapter 10 SLICOT—A Subroutine Library in Systems and Control Theory
Attention for Chapter 3: Nonuniqueness, Uncertainty, and Complexity in Modeling
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Chapter title
Nonuniqueness, Uncertainty, and Complexity in Modeling
Chapter number 3
Book title
Applied and Computational Control, Signals, and Circuits
Published by
Birkhäuser, Boston, MA, January 1999
DOI 10.1007/978-1-4612-0571-5_3
Book ISBNs
978-1-4612-6822-2, 978-1-4612-0571-5
Authors

Hidenori Kimura, Kimura, Hidenori

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