LEADER 00783nam0-22002771i-450- 001 990003735950403321 005 20090914140709.0 010 $a1858982944 035 $a000373595 035 $aFED01000373595 035 $a(Aleph)000373595FED01 035 $a000373595 100 $a20030910d1996----km-y0itay50------ba 101 0 $aeng 105 $ay-------001yy 200 1 $a<>economics of communication and information$fD. M. Lamberton 210 $aCheltenham$cEdward Elgar$d1996 215 $a549p.$d25cm 700 1$aLamberton,$bDonald M.$0148079 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003735950403321 952 $aD8.53$b8099$fDECTS 959 $aDECTS 996 $aEconomics of communication and information$9508976 997 $aUNINA LEADER 05523nam 2200709Ia 450 001 9910829972703321 005 20210209181001.0 010 $a1-282-16536-4 010 $a9786612165368 010 $a0-470-61156-1 010 $a0-470-39422-6 035 $a(CKB)2550000000005842 035 $a(EBL)477630 035 $a(SSID)ssj0000342644 035 $a(PQKBManifestationID)11243663 035 $a(PQKBTitleCode)TC0000342644 035 $a(PQKBWorkID)10284708 035 $a(PQKB)10472990 035 $a(MiAaPQ)EBC477630 035 $a(MiAaPQ)EBC4036964 035 $a(PPN)190071206 035 $a(OCoLC)520990463 035 $a(EXLCZ)992550000000005842 100 $a20070615d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aScaling, fractals and wavelets$b[electronic resource] /$fedited by Patrice Abry, Paulo Gonc?alves, Jacques Levy Vehel 210 $aLondon $cISTE ;$aHoboken, NJ $cWiley$d2009 215 $a1 online resource (506 p.) 225 1 $aISTE ;$vv.74 300 $aDescription based upon print version of record. 311 $a1-84821-072-8 320 $aIncludes bibliographical references. 327 $aScaling, 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. Ho?lder exponents; 1.3.1. Ho?lder exponents related to a measure; 1.3.2. Theorems on set dimensions; 1.3.3. Ho?lder 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 327 $a1.4.1. 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 327 $a2.2.2. 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 327 $a2.5.2. 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. Le?vy processes; 3.3.2. Burgers' equation and Brownian motion; 3.3.3. Random wavelet series; 3.4. Multifractal formalisms 327 $a3.4.1. 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. Ho?lder 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 327 $a4.3.3. Partition function and Legendre spectrum 330 $aScaling is a mathematical transformation that enlarges or diminishes objects. The technique is used in a variety of areas, including finance and image processing. This book is organized around the notions of scaling phenomena and scale invariance. The various stochastic models commonly used to describe scaling ? self-similarity, long-range dependence and multi-fractals ? are introduced. These models are compared and related to one another. Next, fractional integration, a mathematical tool closely related to the notion of scale invariance, is discussed, and stochastic processes with prescribed 410 0$aISTE 606 $aSignal processing$xMathematics 606 $aFractals 606 $aWavelets (Mathematics) 615 0$aSignal processing$xMathematics. 615 0$aFractals. 615 0$aWavelets (Mathematics) 676 $a621.382/20151 676 $a621.38220151 701 $aAbry$b Patrice$01615392 701 $aGonc?alves$b Paulo$f1967-$01615393 701 $aLe?vy Ve?hel$b Jacques$f1960-$01444344 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829972703321 996 $aScaling, fractals and wavelets$93945563 997 $aUNINA LEADER 03389nam 2200733Ia 450 001 9910956157103321 005 20200520144314.0 010 $a9786611105396 010 $a9781281105394 010 $a1281105392 010 $a9781846426278 010 $a1846426278 010 $a9781435603028 010 $a1435603028 035 $a(CKB)1000000000398688 035 $a(EBL)334105 035 $a(OCoLC)191925930 035 $a(SSID)ssj0000131295 035 $a(PQKBManifestationID)11134217 035 $a(PQKBTitleCode)TC0000131295 035 $a(PQKBWorkID)10015603 035 $a(PQKB)10482928 035 $a(Au-PeEL)EBL334105 035 $a(CaPaEBR)ebr10196751 035 $a(CaONFJC)MIL110539 035 $a(OCoLC)175295005 035 $a(MiAaPQ)EBC334105 035 $a(Perlego)951501 035 $a(EXLCZ)991000000000398688 100 $a20070123d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCounselling people on the autism spectrum $ea practical manual /$fKatherine Paxton and Irene A. Estay 205 $a1st ed. 210 $aLondon ;$aPhiladelphia $cJessica Kingsley Publishers$d2007 215 $a1 online resource (209 p.) 300 $aDescription based upon print version of record. 311 08$a9781849854733 311 08$a1849854734 311 08$a9781843105527 311 08$a1843105527 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Contents; Acknowledgments; Introduction; Why a counselling manual for people on the autism spectrum; Organization of the manual; Part One: Understanding Autism ? Autism Spectrum Characteristics and Cognitive Patterns; 1. Autism: An Overview; 2. Autistic Thinking and Autistic Logic; Part Two: Counselling Issues and Approaches; 3. General Strategies and Modifications for Cognitive Behavioural Therapy; 4. Depression and Treatment Approaches; 5. Anxiety, OCD, and Treatment Approaches; 6. Relationships and Social Skills; 7. Stress and Relaxation 327 $a8. Emotional Expression, Identification, and Regulation9. Some Final Words and Suggestions; References; Subject Index; Author Index; 330 $aThe characteristics of autism spectrum disorders (ASD) present unique challenges, not only to people themselves affected, but also to counselling professionals. This manual provides counselling techniques that work not only for professionals, but also for individuals either coping with being on the spectrum themselves, or living with someone who has an ASD. 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