Stankovic / Moraga / Astola | Fourier Analysis on Finite Groups with Applications in Signal Processing and System Design | E-Book | sack.de
E-Book

E-Book, Englisch, 230 Seiten, E-Book

Stankovic / Moraga / Astola Fourier Analysis on Finite Groups with Applications in Signal Processing and System Design


1. Auflage 2005
ISBN: 978-0-471-74542-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 230 Seiten, E-Book

ISBN: 978-0-471-74542-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Discover applications of Fourier analysis on finite non-Abeliangroups
The majority of publications in spectral techniques considerFourier transform on Abelian groups. However, non-Abelian groupsprovide notable advantages in efficient implementations of spectralmethods.
Fourier Analysis on Finite Groups with Applications in SignalProcessing and System Design examines aspects of Fourieranalysis on finite non-Abelian groups and discusses differentmethods used to determine compact representations for discretefunctions providing for their efficient realizations and relatedapplications. Switching functions are included as an example ofdiscrete functions in engineering practice. Additionally,consideration is given to the polynomial expressions and decisiondiagrams defined in terms of Fourier transform on finitenon-Abelian groups.
A solid foundation of this complex topic is provided bybeginning with a review of signals and their mathematical modelsand Fourier analysis. Next, the book examines recent achievementsand discoveries in:
* Matrix interpretation of the fast Fourier transform
* Optimization of decision diagrams
* Functional expressions on quaternion groups
* Gibbs derivatives on finite groups
* Linear systems on finite non-Abelian groups
* Hilbert transform on finite groups
Among the highlights is an in-depth coverage of applications ofabstract harmonic analysis on finite non-Abelian groups in compactrepresentations of discrete functions and related tasks in signalprocessing and system design, including logic design. All chaptersare self-contained, each with a list of references to facilitatethe development of specialized courses or self-study.
With nearly 100 illustrative figures and fifty tables, this isan excellent textbook for graduate-level students and researchersin signal processing, logic design, and system theory-as well asthe more general topics of computer science and appliedmathematics.

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Preface.
Acknowledgments.
Acronyms.
1 Signals and Their Mathematical Models.
1.1 Systems.
1.2 Signals.
1.3 Mathematical Models of Signals.
References.
2 Fourier Analysis.
2.1 Representations of Groups.
2.1.1 Complete Reducibility.
2.2 Fourier Transform on Finite Groups.
2.3 Properties of the Fourier Transform.
2.4 Matrix Interpretation of the Fourier Transform on Finite Non-Abelian Groups.
2.5 Fast Fourier Transform on Finite Non-Abelian Groups.
References.
3 Matrix Interpretation of the FFT.
3.1 Matrix Interpretation of FFT on Finite Non-Abelian Groups.
3.2 Illustrative Examples.
3.3 Complexity of the FFT.
3.3.1 Complexity of Calculations of the FFT.
3.3.2 Remarks on Programming Implememtation of FFT.
3.4 FFT Through Decision Diagrams.
3.4.1 Decision Diagrams.
3.4.2 FFT on Finite Non-Abelian Groups Through DDs.
3.4.3 MMTDs for the Fourier Spectrum.
3.4.4 Complexity of DDs Calculation Methods.
References.
4 Optimization of Decision Diagrams.
4.1 Reduction Possibilities in Decision Diagrams.
4.2 Group-Theoretic Interpretation of DD.
4.3 Fourier Decision Diagrams.
4.3.1 Fourier Decision Trees.
4.3.2 Fourier Decision Diagrams.
4.4 Discussion of Different Decompositions.
4.4.1 Algorithm for Optimization of DDs.
4.5 Representation of Two-Variable Function Generator.
4.6 Representation of Adders by Fourier DD.
4.7 Representation of Multipliers by Fourier DD.
4.8 Complexity of NADD.
4.9 Fourier DDs with Preprocessing.
4.9.1 Matrix-valued Functions.
4.9.2 Fourier Transform for Matrix-Valued Functions.
4.10 Fourier Decision Trees with Preprocessing.
4.11 Fourier Decision Diagrams with Preprocessing.
4.12 Construction of FNAPDD.
4.13 Algorithm for Construction of FNAPDD.
4.13.1 Algorithm for Representation.
4.14 Optimization of FNAPDD.
References.
5 Functional Expressions on Quaternion Groups.
5.1 Fourier Expressions on Finite Dyadic Groups.
5.1.1 Finite Dyadic Groups.
5.2 Fourier Expressions on Q2.
5.3 Arithmetic Expressions.
5.4 Arithmetic Expressions from Walsh Expansions.
5.5 Arithmetic Expressions on Q2.
5.5.1 Arithmetic Expressions and Arithmetic-Haar Expressions.
5.5.2 Arithmetic-Haar Expressions and Kronecker Expressions.
5.6 Different Polarity Polynomials Expressions.
5.6.1 Fixed-Polarity Fourier Expressions in C(Q2).
5.6.2 Fixed-Polarity Arithmetic-Haar Expressions.
5.7 Calculation of the Arithmetic-Haar Coefficients.
5.7.1 FFT-like Algorithm.
5.7.2 Calculation of Arithmetic-Haar Coefficients Through Decision Diagrams.
References.
6 Gibbs Derivatives on Finite Groups.
6.1 Definition and Properties of Gibbs Derivatives on Finite Non-Abelian Groups.
6.2 Gibbs Anti-Derivative.
6.3 Partial Gibbs Derivatives.
6.4 Gibbs Differential Equations.
6.5 Matrix Interpretation of Gibbs Derivatives.
6.6 Fast Algorithms for Calculation of Gibbs Derivatives on Finite Groups.
6.6.1 Complexity of Calculation of Gibbs Derivatives.
6.7 Calculation of Gibbs Derivatives Through DDs.
6.7.1 Calculation of Partial Gibbs Derivatives.
References.
7 Linear Systems on Finite Non-Abelian Groups.
7.1 Linear Shift-Invariant Systems on Groups.
7.2 Linear Shift-Invariant Systems on Finite Non-Abelian Groups.
7.3 Gibbs Derivatives and Linear Systems.
7.3.1 Discussion.
References.
8 Hilbert Transform on Finite Groups.
8.1 Some Results of Fourier Analysis on Finite Non-Abelian Groups.
8.2 Hilbert Transform on Finite Non-Abelian Groups.
8.3 Hilbert Transform in Finite Fields.
References.
Index.


RADOMIR S. STANKOVIC, PhD, is Professor, Department ofComputer Science, Faculty of Electronics, University of Nis,Serbia.
CLAUDIO MORAGA, PhD, is Professor, Department of ComputerScience, Dortmund University, Germany.
JAAKKO T. ASTOLA, PhD, is Professor, Institute of SignalProcessing, Tampere University of Technology, Finland.



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