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Titlebook: An Operator Perspective on Signals and Systems; Arthur E. Frazho,Wisuwat Bhosri Book 2010 Birkhäuser Basel 2010 Factorization.Filtering.In

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期刊全称An Operator Perspective on Signals and Systems
影响因子2023Arthur E. Frazho,Wisuwat Bhosri
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发行地址This book uses geometric techniques to develop both the theory and the algorithms behind many factorization, interpolation, and signal processing problems arising in engineering and operator theory.So
学科分类Operator Theory: Advances and Applications
图书封面Titlebook: An Operator Perspective on Signals and Systems;  Arthur E. Frazho,Wisuwat Bhosri Book 2010 Birkhäuser Basel 2010 Factorization.Filtering.In
影响因子In this monograph, we combine operator techniques with state space methods to solve factorization, spectral estimation, and interpolation problems arising in control and signal processing. We present both the theory and algorithms with some Matlab code to solve these problems. A classical approach to spectral factorization problems in control theory is based on Riccati equations arising in linear quadratic control theory and Kalman ?ltering. One advantage of this approach is that it readily leads to algorithms in the non-degenerate case. On the other hand, this approach does not easily generalize to the nonrational case, and it is not always transparent where the Riccati equations are coming from. Operator theory has developed some elegant methods to prove the existence of a solution to some of these factorization and spectral estimation problems in a very general setting. However, these techniques are in general not used to develop computational algorithms. In this monograph, we will use operator theory with state space methods to derive computational methods to solve factorization, sp- tral estimation, and interpolation problems. It is emphasized that our approach is geometric an
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Operator Theory: Advances and Applicationshttp://image.papertrans.cn/a/image/155675.jpg
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https://doi.org/10.1007/978-3-662-26165-1on. Inner-outer factorizations play a fundamental role in many optimization and interpolation problems arising in systems theory and signal processing. In Chapter 4 we will study state space realizations for rational inner and outer functions. Finally, recall that throughout this monograph, we assum
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https://doi.org/10.1007/978-3-662-26165-1pace realization if and only if it is proper and rational. The finite dimensional state space setting is ideal for using computers to design feedback controllers and analyzing transfer functions. In this chapter, we will use state space realizations to characterize inner and outer rational functions
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