Advanced Topics in System and Signal Theory: A Mathematical Approach / Edition 1

Advanced Topics in System and Signal Theory: A Mathematical Approach / Edition 1

ISBN-10:
3642036384
ISBN-13:
9783642036385
Pub. Date:
10/14/2009
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3642036384
ISBN-13:
9783642036385
Pub. Date:
10/14/2009
Publisher:
Springer Berlin Heidelberg
Advanced Topics in System and Signal Theory: A Mathematical Approach / Edition 1

Advanced Topics in System and Signal Theory: A Mathematical Approach / Edition 1

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Overview

The requirement of causality in system theory is inevitably accompanied by the appearance of certain mathematical operations, namely the Riesz projection,the Hilberttrans form, and the spectral factorization mapping. A classical example illustrating this is the determination of the so-calledWiener filter (the linear, minimum means square error estimation filter for stationary shastic sequences [88]). If the filter is not required to be causal, the transfer function of the Wiener filter is simply given by H(ω)=Φ xy(ω)/Φxx (ω),whereΦ xx(ω) and Φxy(ω) are certain given functions. However, if one requires that the - xy timation filter is causal, the transfer function of the optimal filter is given by Φxy (ω) 1 P+ H(ω) = , ω ∈ (−π, π] . [Φxx ]+ (ω) [Φxx ]− (ω) Here [Φxx ]+ and [Φxx ]− represent the so called spectral factors of Φxx, and P is the so called Riesz projection. Thus, compared to the non-causal filter, + two additional operations are necessary for the determination of the causal filter, namely the spectral factorization mapping Φxx → ([Φxx]+ ,[Φxx]− ),and the Riesz projection P .

Product Details

ISBN-13: 9783642036385
Publisher: Springer Berlin Heidelberg
Publication date: 10/14/2009
Series: Foundations in Signal Processing, Communications and Networking , #4
Edition description: 2010
Pages: 241
Product dimensions: 6.20(w) x 9.30(h) x 0.80(d)

Table of Contents

I Mathematical Preliminaries.- Function Spaces and Operators.- Fourier Analysis and Analytic Functions.- Banach Algebras.- Signal Models and Linear Systems.- II Fundamental Operators.- Poisson Integral and Hilbert Transformation.- Causal Projections.- III Causality Aspects in Signal and System Theory.- Disk Algebra Bases.- Causal Approximations.- On Algorithms for Calculating the Hilbert Transform.- Spectral Factorization.
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