Algebraically Approximate and Noisy Realization of Discrete-Time Systems and Digital Images (eBook)

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2009 | 2009
XI, 255 Seiten
Springer Berlin (Verlag)
978-3-642-03217-2 (ISBN)

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Algebraically Approximate and Noisy Realization of Discrete-Time Systems and Digital Images - Yasumichi Hasegawa
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This monograph deals with approximation and noise cancellation of dyn- ical systems which include linear and nonlinear input/output relationships. It also deal with approximation and noise cancellation of two dimensional arrays. It will be of special interest to researchers, engineers and graduate students who have specialized in ?ltering theory and system theory and d- ital images. This monograph is composed of two parts. Part I and Part II will deal with approximation and noise cancellation of dynamical systems or digital images respectively. From noiseless or noisy data, reduction will be made. A method which reduces model information or noise was proposed in the reference vol. 376 in LNCIS [Hasegawa, 2008]. Using this method will allow model description to be treated as noise reduction or model reduction without having to bother, for example, with solving many partial di?er- tial equations. This monograph will propose a new and easy method which produces the same results as the method treated in the reference. As proof of its advantageous e?ect, this monograph provides a new law in the sense of numerical experiments. The new and easy method is executed using the algebraic calculations without solving partial di?erential equations. For our purpose,manyactualexamplesofmodelinformationandnoisereductionwill also be provided. Using the analysis of state space approach, the model reduction problem may have become a major theme of technology after 1966 for emphasizing e?ciency in the ?elds of control, economy, numerical analysis, and others.

Title Page 2
Preface 5
Contents 8
Part I Algebraically Approximate and Noisy Realization of Discrete-Time Dynamical Systems 11
Introduction 12
Input/Output Map and Additive Noises 20
Input Response Maps (Input/Output Maps with Causality) 20
Analysis for Algebraically Approximate and Noisy Realization 22
Measurement Data with Noise 23
Analyses for Approximate and Noisy Data 23
Algebraically Constrained Least Square Method 26
Algebraic CLS Method and Analytic CLS Method 28
Historical Notes and Concluding Remarks 28
Algebraically Approximate and Noisy Realization of Linear Systems 30
Basic Facts Regarding Linear Systems 30
Finite Dimensional Linear Systems 32
Partial Realization Theory of Linear Systems 34
Algebraically Approximate Realization of Linear Systems 35
Algebraically Noisy Realization of Linear Systems 45
Comparative Table of the Algebraic CLS and AIC Method 57
Historical Notes and Concluding Remarks 58
Algebraically Approximate and Noisy Realization of So-called Linear Systems 61
Basic Facts about So-called Linear Systems 62
Finite Dimensional So-called Linear Systems 63
Partial Realization of So-called Linear Systems 66
Real-Time Partial Realization of Almost Linear Systems 68
Algebraically Approximate Realization of So-called Linear Systems 69
Algebraically Noisy Realization of So-called Linear Systems 80
Historical Notes and Concluding Remarks 91
Algebraically Approximate and Noisy Realization of Almost Linear Systems 94
Basic Facts of Almost Linear Systems 95
Finite Dimensional Almost Linear Systems 96
Algebraically Approximate Realization of Almost Linear Systems 97
Algebraically Noisy Realization of Almost Linear Systems 106
Historical Notes and Concluding Remarks 115
Algebraically Approximate and Noisy Realization of Pseudo Linear Systems 117
Basic Facts about Pseudo Linear Systems 117
Finite Dimensional Pseudo Linear Systems 119
Partial Realization of Pseudo Linear Systems 122
Real-Time Partial Realization of Pseudo Linear Systems 124
Algebraically Approximate Realization of Pseudo Linear Systems 126
Algebraically Noisy Realization of Pseudo Linear Systems 137
Historical Notes and Concluding Remarks 150
Algebraically Approximate and Noisy Realization of Affine Dynamical Systems 152
Basic Facts about Affine Dynamical Systems 153
Finite Dimensional Affine Dynamical Systems 155
Partial Realization Theory of Affine Dynamical Systems 158
Algebraically Approximate Realization of Affine Dynamical Systems 160
Algebraically Noisy Realization of Affine Dynamical Systems 175
Historical Notes and Concluding Remarks 187
Algebraically Approximate and Noisy Realization of Linear Representation Systems 189
Basic Facts about Linear Representation Systems 190
Finite Dimensional Linear Representation Systems 191
Partial Realization Theory of Linear Representation Systems 194
Algebraically Approximate Realization of Linear Representation Systems 195
Algebraically Noisy Realization of Linear Representation Systems 205
Historical Notes and Concluding Remarks 215
Part II Algebraically Approximate and Noisy Realization of Digital Images 217
Algebraically Approximate and Noisy Realization of Two-Dimensional Images 218
Commutative Linear Representation Systems 219
Finite-Dimensional Commutative Linear Representation Systems 221
Partial Realization Theory of Two-Dimensional Images 226
Measurement Data with Approximate and Noisy Error 229
Analyses for Approximate and Noisy Data 230
Non-linear Integer Programming for Digital Images 231
Algebraically Approximate Realization of Two-Dimensional Images 232
Algebraically Noisy Realization of Two-Dimensional Images 240
Historical Notes and Concluding Remarks 249
References 251
Index 254

Erscheint lt. Verlag 30.9.2009
Reihe/Serie Lecture Notes in Electrical Engineering
Zusatzinfo XI, 255 p.
Verlagsort Berlin
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Grafik / Design
Mathematik / Informatik Mathematik
Technik Elektrotechnik / Energietechnik
Schlagworte Complexity • Digital Images • Discrete-time systems • Dynamic systems • Information • Non-linear Systems • Systems Theory • Two-Dimensional Digital Images
ISBN-10 3-642-03217-6 / 3642032176
ISBN-13 978-3-642-03217-2 / 9783642032172
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