03396oam 2200685I 450 991045366300332120200520144314.01-136-55068-20-415-86932-31-315-01801-21-136-55061-510.4324/9781315018010 (CKB)2550000001131185(EBL)1474550(OCoLC)864414417(SSID)ssj0001154540(PQKBManifestationID)11615759(PQKBTitleCode)TC0001154540(PQKBWorkID)11177344(PQKB)10772869(MiAaPQ)EBC1474550(Au-PeEL)EBL1474550(CaPaEBR)ebr10786273(CaONFJC)MIL530894(OCoLC)958105896(EXLCZ)99255000000113118520180706d20041964 uy 0engur|n|---|||||txtccrClassification and human evolution /edited by Sherwood L. WashburnOxon [England] :Routledge,2004.1 online resource (384 p.)Routledge library editions. Anthropology and ethnography. Theory of anthropology ;XFirst published in 1964.0-415-33068-8 1-299-99643-4 Includes bibliographical references and index.Cover ; Classification and Human Evolution; Title Page ; Copyright Page ; Original Title Page; Original Copyright Page; Preface; Table of Contents ; The Meaning of Taxonomic Statements; East African Fossil Hominoidea and the Classification Within this Super-Family; Quantitative Taxonomy and Human Evolution; Some Considerations in the Formulation of Theories of Human Phylogeny; Age Changes, Sex Differences, and Variability as Factors in the Classification of Primates; The evaluation of Characteristics of the Skull, Hands, and Feet for Primate Taxonomy; The Classification of OreopithecusThe Locomotor Functions of HominidsBehavior and Human Evolution; Man's Place in the Phylogeny of the Primates; The Chromosomes of the Hominoidea; Perspectives in Molecular Anthropology; Some Problems in the Analysis and Comparison of Monkey and Ape Behavior; A Comparison of the Ecology and Behavior of Monkeys and Apes; Psychological Definitions of Man; The Taxonomic Evaluation of Fossil Hominids; Genetic Entities in Hominid Evolution; IndexThis volume reviews the meaning of taxonomic statements and considers our present knowledge regarding the number and characteristics of species among living and extinct primates, including man and his ancestors. They also examine the relationship of behaviour changes and selection pressures in evolutionary sequences.<BR> First published in 1964.Routledge library editions.Anthropology and ethnography ;X.Human evolutionPrimatesHuman beingsOriginElectronic books.Human evolution.Primates.Human beingsOrigin.384Washburn S. L(Sherwood Larned),1911-2000.65931MiAaPQMiAaPQMiAaPQBOOK9910453663003321Classification and human evolution596672UNINA03325nam 2200589 450 991014202520332120220715222302.01-118-57977-11-118-57974-71-118-57973-9(CKB)2670000000432331(EBL)1443829(OCoLC)861558924(SSID)ssj0001173036(PQKBManifestationID)11608947(PQKBTitleCode)TC0001173036(PQKBWorkID)11193392(PQKB)10017191(MiAaPQ)EBC1443829(Au-PeEL)EBL1443829(CaPaEBR)ebr10780752(PPN)178460338(EXLCZ)99267000000043233120131029d2013 uy| 0engur|n|---|||||txtccrBlind identification and separation of complex-valued signals /Eric Moreau, Tülay AdalıLondon :ISTE,2013.1 online resource (108 p.)Focus : digital signal and image processing series,2051-2481Description based upon print version of record.1-84821-459-6 Includes bibliographical references and index.Cover; Title Page; Contents; Preface; Acknowledgments; Chapter 1. Mathematical Preliminaries; 1.1. Introduction; 1.2. Linear mixing model; 1.3. Problem definition; 1.4. Statistics; 1.4.1. Statistics of random variables and random vectors; 1.4.2. Differential entropy of complex random vectors; 1.4.3. Statistics of random processes; 1.4.4. Complex matrix decompositions; 1.5. Optimization: Wirtinger calculus; 1.5.1. Scalar case; 1.5.2. Vector case; 1.5.3. Matrix case; 1.5.4. Summary; Chapter 2. Estimation by Joint Diagonalization; 2.1. Introduction3.2.1. Mutual information and mutual information rate minimization3.2.2. Maximum likelihood; 3.2.3. Identifiability of the complex ICA model; 3.3. Algorithms; 3.3.1. ML ICA: unconstrained W; 3.3.2. Complex maximization of non-Gaussianity: ML ICA with unitary W; 3.3.3. Density matching; 3.3.4. A flexible complex ICA algorithm: Entropy bound minimization; 3.4. Summary; Bibliography; IndexBlind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the blind identification and source separation problem in the complex-domain, where the available statistical properties are richer and include non-circularity of the sources - underlying components. They define identifiability conditions and present state-of-the-art algorithms that are based on algebraDigital signal and image processing series.Signal processingStatistical methodsSignal processingStatistical methods.108Moreau Eric958804Adali Tülay845678MiAaPQMiAaPQMiAaPQBOOK9910142025203321Blind identification and separation of complex-valued signals2897840UNINA