LEADER 00908cam a22002418a 4500 001 991001238359707536 008 110530s2006 enk b 001 0 eng 020 $a1403987750 035 $ab13982886-39ule_inst 040 $aDip.to Studi Storici$bita 082 04$a327.73041 100 1 $aDumbrell, John$0475084 245 12$aA special relationship :$banglo-american relations from the Cold war to Iraq /$cJohn Dumbrell 250 $a2. ed. 260 $aNew York :$bPalgrave Macmillan,$c2006 300 $a318 p. :$c21 cm. 651 $aStati Uniti d'America e Gran Bretagna$y1945-1989 907 $a.b13982886$b28-01-14$c30-05-11 912 $a991001238359707536 945 $aLE023 327.730 DUM 2 1 $g1$i2023000127605$lle023$o-$pE28.10$q-$rl$s- $t0$u0$v0$w0$x0$y.i15286228$z22-06-11 996 $aSpecial relationship$9246239 997 $aUNISALENTO 998 $ale023$b30-05-11$cm$da $e-$feng$genk$h2$i0 LEADER 01234nas 2200445- 450 001 9910231859403321 005 20230215213018.0 011 $a1448-6067 035 $a(OCoLC)50384593 035 $a(CKB)111024950803004 035 $a(CONSER)--2019205586 035 $a(EXLCZ)99111024950803004 100 $a20020811a19949999 s-- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMolluscan research 210 1$a[Oxfordshire, UK] :$cTaylor & Francis 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 $a1323-5818 517 1 $aMoll. res 531 $aMOLLUSCAN RES 606 $aMollusks$zAustralasia$vPeriodicals 606 $aMollusks$2fast$3(OCoLC)fst01024905 606 $aWeekdieren$2gtt 607 $aAustralasia$2fast 608 $aPeriodicals.$2fast 615 0$aMollusks 615 7$aMollusks. 615 17$aWeekdieren. 676 $a594.0994 712 02$aNew Zealand.$bDepartment of Conservation. 712 02$aMalacological Society of Australasia. 906 $aJOURNAL 912 $a9910231859403321 996 $aMolluscan research$92364545 997 $aUNINA LEADER 06122nam 2200721Ia 450 001 9910821926303321 005 20240313230715.0 010 $a9781118622162 010 $a1118622162 010 $a9781118622148 010 $a1118622146 010 $a9781118622155 010 $a1118622154 035 $a(CKB)2560000000102102 035 $a(EBL)1207774 035 $a(OCoLC)850079007 035 $a(MiAaPQ)EBC1207774 035 $a(DLC) 2013007202 035 $a(Au-PeEL)EBL1207774 035 $a(CaPaEBR)ebr10716700 035 $a(CaONFJC)MIL497265 035 $a(OCoLC)828193745 035 $a(FINmELB)ELB178693 035 $a(Perlego)999947 035 $a(EXLCZ)992560000000102102 100 $a20130215d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAdaptive processing of brain signals /$fSaeid Sanei 205 $a1st ed. 210 $aChichester, West Sussex $cJohn Wiley & Sons Inc.$dc2013 215 $a1 online resource (1039 p.) 300 $aDescription based upon print version of record. 311 08$a9780470686133 311 08$a0470686138 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Preface; Chapter 1 Brain Signals, Their Generation, Acquisition and Properties; 1.1 Introduction; 1.2 Historical Review of the Brain; 1.3 Neural Activities; 1.4 Action Potentials; 1.5 EEG Generation; 1.6 Brain Rhythms; 1.7 EEG Recording and Measurement; 1.8 Abnormal EEG Patterns; 1.9 Aging; 1.10 Mental Disorders; 1.11 Memory and Content Retrieval; 1.12 MEG Signals and Their Generation; 1.13 Conclusions; References; Chapter 2 Fundamentals of EEG Signal Processing; 2.1 Introduction; 2.2 Nonlinearity of the Medium; 2.3 Nonstationarity; 2.4 Signal Segmentation 327 $a2.5 Other Properties of Brain Signals2.6 Conclusions; References; Chapter 3 EEG Signal Modelling; 3.1 Physiological Modelling of EEG Generation; 3.2 Mathematical Models; 3.3 Generating EEG Signals Based on Modelling the Neuronal Activities; 3.4 Electronic Models; 3.5 Dynamic Modelling of the Neuron Action Potential Threshold; 3.6 Conclusions; References; Chapter 4 Signal Transforms and Joint Time-Frequency Analysis; 4.1 Introduction; 4.2 Parametric Spectrum Estimation and Z-Transform; 4.3 Time-Frequency Domain Transforms; 4.4 Ambiguity Function and the Wigner-Ville Distribution 327 $a4.5 Hermite Transform4.6 Conclusions; References; Chapter 5 Chaos and Dynamical Analysis; 5.1 Entropy; 5.2 Kolmogorov Entropy; 5.3 Lyapunov Exponents; 5.4 Plotting the Attractor Dimensions from Time Series; 5.5 Estimation of Lyapunov Exponents from Time Series; 5.6 Approximate Entropy; 5.7 Using Prediction Order; 5.8 Conclusions; References; Chapter 6 Classification and Clustering of Brain Signals; 6.1 Introduction; 6.2 Linear Discriminant Analysis; 6.3 Support Vector Machines; 6.4 k-Means Algorithm; 6.5 Common Spatial Patterns; 6.6 Conclusions; References 327 $aChapter 7 Blind and Semi-Blind Source Separation7.1 Introduction; 7.2 Singular Spectrum Analysis; 7.3 Independent Component Analysis; 7.4 Instantaneous BSS; 7.5 Convolutive BSS; 7.6 Sparse Component Analysis; 7.7 Nonlinear BSS; 7.8 Constrained BSS; 7.9 Application of Constrained BSS; Example; 7.10 Nonstationary BSS; 7.11 Tensor Factorization for Underdetermined Source Separation; 7.12 Tensor Factorization for Separation of Convolutive Mixtures in the Time Domain; 7.13 Separation of Correlated Sources via Tensor Factorization; 7.14 Conclusions; References 327 $aChapter 8 Connectivity of Brain Regions8.1 Introduction; 8.2 Connectivity Through Coherency; 8.3 Phase-Slope Index; 8.4 Multivariate Directionality Estimation; 8.5 Modelling the Connectivity by Structural Equation Modelling; 8.6 EEG Hyper-Scanning and Inter-Subject Connectivity; 8.7 State-Space Model for Estimation of Cortical Interactions; 8.8 Application of Adaptive Filters; 8.9 Tensor Factorization Approach; 8.10 Conclusions; References; Chapter 9 Detection and Tracking of Event-Related Potentials; 9.1 ERP Generation and Types; 9.2 Detection, Separation, and Classification of P300 Signals 327 $a9.3 Brain Activity Assessment Using ERP 330 $a"Brain signal processing spans a broad range of knowledge across engineering, science and medicine, and this book brings together the disparate theory and application to create a comprehensive resource on this growing topic. It will provide advanced tools for the detection, monitoring, separation, localizing and understanding of brain functional, anatomical, and physiological abnormalities. The focus will be on advanced and adaptive signal processing techniques for the processing of electroencephalography and magneto-encephalography signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI). Multimodal processing of brain signals, the new focus for brain signal research, will also be explored. The book covers the broad remit of neuro-imaging, ensuring comprehensive coverage of all issues related to brain signal processing. Topics such as mental fatigue, brain connectivity and new recording techniques will also be covered.This book will be a progression/follow on from Dr Sanei's first book with Wiley, EEG Signal Processing"--$cProvided by publisher. 330 $a"Covers the fundamentals of brain signal processing, before developing the subject at advanced level"--$cProvided by publisher. 606 $aBrain$xPhysiology 606 $aNeural networks (Neurobiology) 606 $aSignal processing$xDigital techniques 615 0$aBrain$xPhysiology. 615 0$aNeural networks (Neurobiology) 615 0$aSignal processing$xDigital techniques. 676 $a573.8/5 686 $aSCI067000$2bisacsh 700 $aSanei$b Saeid$0629068 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821926303321 996 $aAdaptive processing of brain signals$93979027 997 $aUNINA