LEADER 04733nam 22005535 450 001 9910309858303321 005 20190106021148.0 010 $a981-13-3359-9 024 7 $a10.1007/978-981-13-3359-0 035 $a(CKB)4100000007335065 035 $a(MiAaPQ)EBC5628165 035 $a(DE-He213)978-981-13-3359-0 035 $a(EXLCZ)994100000007335065 100 $a20190101d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLife on the Autism Spectrum$b[electronic resource] $eTranslating Myths and Misconceptions into Positive Futures /$fby Matthew Bennett, Amanda A. Webster, Emma Goodall, Susannah Rowland 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (238 pages) 311 $a981-13-3358-0 327 $aTranslating autism myths into positive futures -- Exploring the identity of individuals on the autism spectrum: reconstructing the autism epidemic myth -- Challenging the public?s perception of life on autism spectrum: the impact of the vaccination myth -- Establishing contexts for support: undoing the legacy of the ?refrigerator mother? myth -- Creating inclusive societies for individuals on the autism spectrum: negating the impact of the ?autism can be cured myth -- Understanding the ?true? potential of people on the spectrum: debunking the savant syndrome myth -- Creating contexts for communication in a verbal world: confronting the myth autistics don?t talk -- Constructing contexts for success in a social society: undoing the impact of the behavior/mental disorder myth -- Establishing social inclusion the autism way: denying the ?they don?t want friends? myth -- Social-emotional connectivity on the autism spectrum: transforming the ?lack of empathy? myth -- Intimacy and romance across the autism spectrum: unpacking the ?not interested in sex? myth -- Supporting self-advocacy and self-determination on the autism spectrum: refuting the ?autism can be outgrown? myth. 330 $aThis book presents a unique exploration of common myths about autism by examining these myths through the perspectives of autistic individuals. Examining the history of attitudes and beliefs about autism and autistic people, this book highlights the ways that these beliefs are continuing to impact autistic individuals and their families, and offers insights as to how viewing these myths from an autistic perspective can facilitate the transformation of these myths into a more positive direction. From ?savant syndrome? to the conception that people with autism lack empathy, each chapter examines a different social myth ? tracing its origins, highlighting the implications it has had for autistic individuals and their families, debunking misconceptions and reconstructing the myth with recommendations for current and future practice. By offering an alternative view of autistic individuals as competent and capable of constructing their own futures, this book offers researchers, practitioners, individuals and families a deeper, more accurate, more comprehensive understanding of prevalent views about the abilities of autistic individuals as well as practical ways to re-shape these into more proactive and supportive practices. 606 $aPsychology, Applied 606 $aDevelopmental psychology 606 $aEducational psychology 606 $aApplied Psychology$3http://scigraph.springernature.com/things/product-market-codes/Y20210 606 $aDevelopmental Psychology$3http://scigraph.springernature.com/things/product-market-codes/Y20010 606 $aChildhood, Adolescence and Society$3http://scigraph.springernature.com/things/product-market-codes/X22090 606 $aEducational Psychology$3http://scigraph.springernature.com/things/product-market-codes/O39000 615 0$aPsychology, Applied. 615 0$aDevelopmental psychology. 615 0$aEducational psychology. 615 14$aApplied Psychology. 615 24$aDevelopmental Psychology. 615 24$aChildhood, Adolescence and Society. 615 24$aEducational Psychology. 676 $a616.85882 700 $aBennett$b Matthew$4aut$4http://id.loc.gov/vocabulary/relators/aut$0977877 702 $aWebster$b Amanda A$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGoodall$b Emma$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRowland$b Susannah$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910309858303321 996 $aLife on the Autism Spectrum$92227734 997 $aUNINA LEADER 05630nam 22007094a 450 001 9910140741803321 005 20200520144314.0 010 $a9786612656507 010 $a9781282656505 010 $a1282656503 010 $a9780470575758 010 $a0470575751 010 $a9780470575741 010 $a0470575743 024 7 $a10.1002/9780470575758 035 $a(CKB)2670000000032876 035 $a(EBL)554990 035 $a(SSID)ssj0000402484 035 $a(PQKBManifestationID)11276171 035 $a(PQKBTitleCode)TC0000402484 035 $a(PQKBWorkID)10426814 035 $a(PQKB)10259682 035 $a(MiAaPQ)EBC554990 035 $a(CaBNVSL)mat05521814 035 $a(IDAMS)0b000064812d17b5 035 $a(IEEE)5521814 035 $a(PPN)176131914 035 $a(CaSebORM)9780470195178 035 $a(OCoLC)644162805 035 $a(Perlego)2750422 035 $a(EXLCZ)992670000000032876 100 $a20090813d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdaptive signal processing $enext generation solutions /$f[edited by] Tulay Adali, Simon S. Haykin 205 $a1st edition 210 $aHoboken, N.J. $cWiley-IEEE$dc2010 215 $a1 online resource (428 p.) 225 1 $aAdaptive and learning systems for signal processing, communications and control series ;$v55 300 $aDescription based upon print version of record. 311 08$a9780470195178 311 08$a0470195177 320 $aIncludes bibliographical references and index. 327 $aPreface -- Contributors -- Chapter 1 Complex-Valued Adaptive Signal Processing -- 1.1 Introduction -- -- 1.2 Preliminaries -- 1.3 Optimization in the Complex Domain -- 1.4 Widely Linear Adaptive Filtering -- 1.5 Nonlinear Adaptive Filtering with Multilayer Perceptrons -- 1.6 Complex Independent Component Analysis -- 1.7 Summary -- 1.8 Acknowledgment -- 1.9 Problems -- References -- Chapter 2 Robust Estimation Techniques for Complex-Valued Random Vectors -- 2.1 Introduction -- 2.2 Statistical Characterization of Complex Random Vectors -- 2.3 Complex Elliptically Symmetric (CES) Distributions -- 2.4 Tools to Compare Estimators -- 2.5 Scatter and Pseudo-Scatter Matrices -- 2.6 Array Processing Examples -- 2.7 MVDR Beamformers Based on M-Estimators -- 2.8 Robust ICA -- 2.9 Conclusion -- 2.10 Problems -- References -- Chapter 3 Turbo Equalization -- 3.1 Introduction -- 3.2 Context -- 3.3 Communication Chain -- 3.4 Turbo Decoder: Overview -- 3.5 Forward-Backward Algorithm -- 3.6 Simplified Algorithm: Interference Canceler -- 3.7 Capacity Analysis -- 3.8 Blind Turbo Equalization -- 3.9 Convergence -- 3.10 Multichannel and Multiuser Settings -- 3.11 Concluding Remarks -- 3.12 Problems -- References -- Chapter 4 Subspace Tracking for Signal Processing -- 4.1 Introduction -- 4.2 Linear Algebra Review -- 4.3 Observation Model and Problem Statement -- 4.4 Preliminary Example: Oja's Neuron -- 4.5 Subspace Tracking -- 4.6 Eigenvectors Tracking -- 4.7 Convergence and Performance Analysis Issues -- 4.8 Illustrative Examples -- 4.9 Concluding Remarks -- 4.10 Problems -- References -- Chapter 5 Particle Filtering -- 5.1 Introduction -- 5.2 Motivation for Use of Particle Filtering -- 5.3 The Basic Idea -- 5.4 The Choice of Proposal Distribution and Resampling -- 5.5 Some Particle Filtering Methods -- 5.6 Handling Constant Parameters -- 5.7 Rao-Blackwellization -- 5.8 Prediction -- 5.9 Smoothing -- 5.10 Convergence Issues -- 5.11 Computational Issues and Hardware Implementation -- 5.12 Acknowledgments. 327 $a5.13 Exercises -- References -- Chapter 6 Nonlinear Sequential State Estimation for Solving Pattern-Classification Problems -- 6.1 Introduction -- 6.2 Back-Propagation and Support Vector Machine-Learning Algorithms: Review -- 6.3 Supervised Training Framework of MLPs Using Nonlinear Sequential State Estimation -- 6.4 The Extended Kalman Filter -- 6.5 Experimental Comparison of the Extended Kalman Filtering Algorithm with the Back-Propagation and Support Vector Machine Learning Algorithms -- 6.6 Concluding Remarks -- 6.7 Problems -- References -- Chapter 7 Bandwidth Extension of Telephony Speech -- 7.1 Introduction -- 7.2 Organization of the Chapter -- 7.3 Nonmodel-Based Algorithms for Bandwidth Extension -- 7.4 Basics -- 7.5 Model-Based Algorithms for Bandwidth Extension -- 7.6 Evaluation of Bandwidth Extension Algorithms -- 7.7 Conclusion -- 7.8 Problems -- References -- Index. 330 $aLeading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutti 410 0$aAdaptive and learning systems for signal processing, communications, and control ;$v55 606 $aAdaptive signal processing 615 0$aAdaptive signal processing. 676 $a621.382/2 701 $aAdali$b Tulay$0845678 701 $aHaykin$b Simon S.$f1931-$08857 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910140741803321 996 $aAdaptive signal processing$91887893 997 $aUNINA