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Nonlinear Smoothing and Multiresolution Analysis

This monograph presents a new theory for analysis, comparison and design of nonlinear smoothers, linking to established practices. Although a part of mathematical morphology, the special properties yield many simple, powerful and illuminating results leading to a novel nonlinear multiresolution anal...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rohwer, Carl (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Basel : Birkhäuser Basel : Imprint: Birkhäuser, 2005.
Edición:1st ed. 2005.
Colección:International Series of Numerical Mathematics, 150
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Nonlinear Smoothing and Multiresolution Analysis  |h [electronic resource] /  |c by Carl Rohwer. 
250 |a 1st ed. 2005. 
264 1 |a Basel :  |b Birkhäuser Basel :  |b Imprint: Birkhäuser,  |c 2005. 
300 |a XIV, 137 p.  |b online resource. 
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490 1 |a International Series of Numerical Mathematics,  |x 2296-6072 ;  |v 150 
505 0 |a Operators on Sequences -- Basic Rank Selectors, Pulses and Impulses -- LULU-Smoothers, Signals and Ambiguity -- LULU-Intervals, Noise and Co-idempotence -- Smoothing and Approximation with Signals -- Variation Reduction and Shape Preservation -- Multiresolution Analysis of Sequences -- The Discrete Pulse Transform -- Fair Comparison with Linear Smoothers -- Interpretation and Future. 
520 |a This monograph presents a new theory for analysis, comparison and design of nonlinear smoothers, linking to established practices. Although a part of mathematical morphology, the special properties yield many simple, powerful and illuminating results leading to a novel nonlinear multiresolution analysis with pulses that may be as natural to vision as wavelet analysis is to acoustics. Similar to median transforms, they have the advantages of a supporting theory, computational simplicity, remarkable consistency, full trend preservation, and a Parceval-type identity. Although the perspective is new and unfamiliar to most, the reader can verify all the ideas and results with simple simulations on a computer at each stage. The framework developed turns out to be a part of mathematical morphology, but the additional specific structures and properties yield a heuristic understanding that is easy to absorb for practitioners in the fields like signal- and image processing. The book targets mathematicians, scientists and engineers with interest in concepts like trend, pulse, smoothness and resolution in sequences. 
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650 2 4 |a Fourier Analysis. 
650 2 4 |a Operator Theory. 
650 2 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Signal, Speech and Image Processing . 
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