Essays on The welfare state / Richard M. Titmuss

• Record Nr.: UNINA9910646390603321
• Autore: Titmuss, Richard Morris
• Pubbl/distr/stampa: London, : G. Allen and Unwin, 1958
• Descrizione fisica: 232 p. ; 22 cm..
• Disciplina: 361.65
• Locazione: FGBC
• Collocazione: XV N 296
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Discography [[electronic resource] /] / Sean Singer ; foreword by W.S. Merwin

• Record Nr.: UNINA9910777852103321
• Autore: Singer Sean <1974->
• Pubbl/distr/stampa: New Haven, : Yale University Press, c2002
• ISBN: 9786611721824; 1-281-72182-4; 0-300-12855-X
• Descrizione fisica: xiv, 82 p
• Collana: Yale series of younger poets ; ; v. 96
• Disciplina: 811/.6
• Soggetti: Poetry, Modern - 21st century
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: Front matter -- Contents -- Foreword -- Acknowledgments -- Poems 1 -- Poems 2 -- Notes
• Sommario/riassunto: This year's winner of the Yale Series of Younger Poets competition is ; Sean Singer's Discography. Playful, experimental, jazz-influenced, the poems in this book delight in sound and approach the more abstract pleasures of music. Singer takes as his subjects music, jazz figures, and historical events. Series judge W. S. Merwin praises Singer for his "roving demands on his language" and "the quick-changes of his invention in search of some provisional rightness."

Scaling, fractals and wavelets / / edited by Patrice Abry, Paulo Goncalves, Jacques Levy Vehel

• Record Nr.: UNINA9911019246103321
• Pubbl/distr/stampa: London, : ISTE; Hoboken, NJ, : Wiley, 2009
• ISBN: 1-282-16536-4; 9786612165368; 0-470-61156-1; 0-470-39422-6
• Descrizione fisica: 1 online resource (506 p.)
• Collana: ISTE ; ; v.74
• Altri autori (Persone): AbryPatrice; GoncalvesPaulo <1967->; Levy VehelJacques <1960->
• Disciplina: 621.382/20151
• Soggetti: Signal processing - Mathematics; Fractals; Wavelets (Mathematics)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Scaling, Fractals and Wavelets; Table of Contents; Preface; Chapter 1. Fractal and Multifractal Analysis in Signal Processing; 1.1. Introduction; 1.2. Dimensions of sets; 1.2.1. Minkowski-Bouligand dimension; 1.2.2. Packing dimension; 1.2.3. Covering dimension; 1.2.4. Methods for calculating dimensions; 1.3. Hölder exponents; 1.3.1. Hölder exponents related to a measure; 1.3.2. Theorems on set dimensions; 1.3.3. Hölder exponent related to a function; 1.3.4. Signal dimension ; theorem; 1.3.5. 2-microlocal analysis; 1.3.6. An example: analysis of stock market price; 1.4. Multifractal analysis; 1.4.1. What is the purpose of multifractal analysis?1.4.2. First ingredient: local regularity measures; 1.4.3. Second ingredient: the size of point sets of the same regularity; 1.4.4. Practical calculation of spectra; 1.4.5. Refinements: analysis of the sequence of capacities, mutual analysis and multisingularity; 1.4.6. The multifractal spectra of certain simple signals; 1.4.7. Two applications; 1.4.7.1. Image segmentation; 1.4.7.2. Analysis of TCP traffic; 1.5. Bibliography; Chapter 2. Scale Invariance and Wavelets; 2.1. Introduction; 2.2. Models for scale invariance; 2.2.1. Intuition; 2.2.2. Self-similarity2.2.3. Long-range dependence; 2.2.4. Local regularity; 2.2.5. Fractional Brownian motion: paradigm of scale invariance; 2.2.6. Beyond the paradigm of scale invariance; 2.3.Wavelet transform; 2.3.1. Continuous wavelet transform; 2.3.2. Discretewavelet transform; 2.4. Wavelet analysis of scale invariant processes; 2.4.1. Self-similarity; 2.4.2. Long-range dependence; 2.4.3. Local regularity; 2.4.4. Beyond second order; 2.5. Implementation: analysis, detection and estimation; 2.5.1. Estimation of the parameters of scale invariance; 2.5.2. Emphasis on scaling laws and determination of the scaling range2.5.3. Robustness of the wavelet approach; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. Wavelet Methods for Multifractal Analysis of Functions; 3.1. Introduction; 3.2. General points regarding multifractal functions; 3.2.1. Important definitions; 3.2.2. Wavelets and pointwise regularity; 3.2.3. Local oscillations; 3.2.4. Complements; 3.3. Random multifractal processes; 3.3.1. Lévy processes; 3.3.2. Burgers' equation and Brownian motion; 3.3.3. Random wavelet series; 3.4. Multifractal formalisms; 3.4.1. Besov spaces and lacunarity3.4.2. Construction of formalisms; 3.5. Bounds of the spectrum; 3.5.1. Bounds according to the Besov domain; 3.5.2. Bounds deduced from histograms; 3.6. The grand-canonical multifractal formalism; 3.7. Bibliography; Chapter 4. Multifractal Scaling: General Theory and Approach by Wavelets; 4.1. Introduction and summary; 4.2. Singularity exponents; 4.2.1. Hölder continuity; 4.2.2. Scaling of wavelet coefficients; 4.2.3. Other scaling exponents; 4.3. Multifractal analysis; 4.3.1. Dimension based spectra; 4.3.2. Grain based spectra; 4.3.3. Partition function and Legendre spectrum
• Sommario/riassunto: Scaling is a mathematical transformation that enlarges or diminishes objects. The technique is used in a variety of areas, including finance and image processing. This book is organized around the notions of scaling phenomena and scale invariance. The various stochastic models commonly used to describe scaling ? self-similarity, long-range dependence and multi-fractals ? are introduced. These models are compared and related to one another. Next, fractional integration, a mathematical tool closely related to the notion of scale invariance, is discussed, and stochastic processes with prescribed