Brain Image Analysis Using Blind Source Separation

Independent Component Analysis And Signal Separation Book PDF
✏Book Title : Independent Component Analysis and Signal Separation
✏Author : Mike E. Davies
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-08-28
✏Pages : 847
✏ISBN : 9783540744931
✏Available Language : English, Spanish, And French

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✏Independent Component Analysis and Signal Separation Book Summary : This book constitutes the refereed proceedings of the 7th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2007, held in London, UK, in September 2007. It covers algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.

📒Independent Component Analysis ✍ Dr. James V. Stone

Independent Component Analysis Book PDF
✏Book Title : Independent Component Analysis
✏Author : Dr. James V. Stone
✏Publisher : MIT Press
✏Release Date : 2004
✏Pages : 193
✏ISBN : 0262693151
✏Available Language : English, Spanish, And French

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✏Independent Component Analysis Book Summary : A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons of computational and conceptual simplicity, the representation is often sought as a linear transformation of the original data. In other words, each component of the representation is a linear combination of the original variables. Well-known linear transformation methods include principal component analysis, factor analysis, and projection pursuit. Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation.

📒Blind Source Separation ✍ Ganesh R. Naik

Blind Source Separation Book PDF
✏Book Title : Blind Source Separation
✏Author : Ganesh R. Naik
✏Publisher : Springer
✏Release Date : 2014-05-21
✏Pages : 551
✏ISBN : 9783642550164
✏Available Language : English, Spanish, And French

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✏Blind Source Separation Book Summary : Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms and applications of BSS. Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.

Independent Component Analysis And Signal Separation Book PDF
✏Book Title : Independent Component Analysis and Signal Separation
✏Author : Tulay Adali
✏Publisher : Springer Science & Business Media
✏Release Date : 2009-02-25
✏Pages : 785
✏ISBN : 9783642005985
✏Available Language : English, Spanish, And French

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✏Independent Component Analysis and Signal Separation Book Summary : This volume contains the papers presented at the 8th International Conf- ence on Independent Component Analysis (ICA) and Source Separation held in Paraty, Brazil, March 15–18, 2009. This year's event resulted from scienti?c collaborations between a team of researchers from ?ve di?erent Brazilian u- versities and received the support of the Brazilian Telecommunications Society (SBrT) as well as the ?nancial sponsorship of CNPq, CAPES and FAPERJ. Independent component analysis and signal separation is one of the most - citing current areas of research in statistical signal processing and unsupervised machine learning. The area has received attention from severalresearchcom- nities including machine learning, neural networks, statistical signal processing and Bayesian modeling. Independent component analysis and signal separation has applications at the intersection of many science and engineering disciplines concerned with understanding and extracting useful information from data as diverse as neuronal activity and brain images, bioinformatics, communications, the World Wide Web, audio, video, sensor signals, and time series.

Handbook Of Blind Source Separation Book PDF
✏Book Title : Handbook of Blind Source Separation
✏Author : Pierre Comon
✏Publisher : Academic Press
✏Release Date : 2010-02-17
✏Pages : 856
✏ISBN : 0080884946
✏Available Language : English, Spanish, And French

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✏Handbook of Blind Source Separation Book Summary : Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation. Covers the principles and major techniques and methods in one book Edited by the pioneers in the field with contributions from 34 of the world’s experts Describes the main existing numerical algorithms and gives practical advice on their design Covers the latest cutting edge topics: second order methods; algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communications Shows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications

Multimodal Brain Image Analysis And Mathematical Foundations Of Computational Anatomy Book PDF
✏Book Title : Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
✏Author : Dajiang Zhu
✏Publisher : Springer Nature
✏Release Date : 2019-10-10
✏Pages : 230
✏ISBN : 9783030332266
✏Available Language : English, Spanish, And French

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✏Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy Book Summary : This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected. The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications. The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.

📒Blind Source Separation ✍ Xianchuan Yu

Blind Source Separation Book PDF
✏Book Title : Blind Source Separation
✏Author : Xianchuan Yu
✏Publisher : John Wiley & Sons
✏Release Date : 2013-12-13
✏Pages : 416
✏ISBN : 9781118679876
✏Available Language : English, Spanish, And French

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✏Blind Source Separation Book Summary : A systematic exploration of both classic and contemporaryalgorithms in blind source separation with practical casestudies The book presents an overview of Blind Source Separation, arelatively new signal processing method. Due to themultidisciplinary nature of the subject, the book has been writtenso as to appeal to an audience from very different backgrounds.Basic mathematical skills (e.g. on matrix algebra and foundationsof probability theory) are essential in order to understand thealgorithms, although the book is written in an introductory,accessible style. This book offers a general overview of the basics of BlindSource Separation, important solutions and algorithms, and in-depthcoverage of applications in image feature extraction, remotesensing image fusion, mixed-pixel decomposition of SAR images,image object recognition fMRI medical image processing, geochemicaland geophysical data mining, mineral resources prediction andgeoanomalies information recognition. Firstly, the background andtheory basics of blind source separation are introduced, whichprovides the foundation for the following work. Matrix operation,foundations of probability theory and information theory basics areincluded here. There follows the fundamental mathematical model andfairly new but relatively established blind source separationalgorithms, such as Independent Component Analysis (ICA) and itsimproved algorithms (Fast ICA, Maximum Likelihood ICA, OvercompleteICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA,Optimised ICA). The last part of the book considers the very recentalgorithms in BSS e.g. Sparse Component Analysis (SCA) andNon-negative Matrix Factorization (NMF). Meanwhile, in-depth casesare presented for each algorithm in order to help the readerunderstand the algorithm and its application field. A systematic exploration of both classic and contemporaryalgorithms in blind source separation with practical casestudies Presents new improved algorithms aimed at differentapplications, such as image feature extraction, remote sensingimage fusion, mixed-pixel decomposition of SAR images, image objectrecognition, and MRI medical image processing With applications in geochemical and geophysical data mining,mineral resources prediction and geoanomalies informationrecognition Written by an expert team with accredited innovations in blindsource separation and its applications in natural science Accompanying website includes a software system providing codesfor most of the algorithms mentioned in the book, enhancing thelearning experience Essential reading for postgraduate students and researchersengaged in the area of signal processing, data mining, imageprocessing and recognition, information, geosciences, lifesciences.

Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes Book PDF
✏Book Title : Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes
✏Author : Karâa, Wahiba Ben Abdessalem
✏Publisher : IGI Global
✏Release Date : 2015-11-03
✏Pages : 335
✏ISBN : 9781466688124
✏Available Language : English, Spanish, And French

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✏Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes Book Summary : Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.

Blind Source Separation Book PDF
✏Book Title : Blind Source Separation
✏Author : Yong Xiang
✏Publisher : Springer
✏Release Date : 2014-09-16
✏Pages : 94
✏ISBN : 9789812872272
✏Available Language : English, Spanish, And French

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✏Blind Source Separation Book Summary : This book provides readers a complete and self-contained set of knowledge about dependent source separation, including the latest development in this field. The book gives an overview on blind source separation where three promising blind separation techniques that can tackle mutually correlated sources are presented. The book further focuses on the non-negativity based methods, the time-frequency analysis based methods, and the pre-coding based methods, respectively.

📒Unsupervised Signal Processing ✍ João Marcos Travassos Romano

Unsupervised Signal Processing Book PDF
✏Book Title : Unsupervised Signal Processing
✏Author : João Marcos Travassos Romano
✏Publisher : CRC Press
✏Release Date : 2018-09-03
✏Pages : 340
✏ISBN : 9781420019469
✏Available Language : English, Spanish, And French

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✏Unsupervised Signal Processing Book Summary : Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms. From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book: Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory Emphasizes the link between supervised and unsupervised processing from the perspective of linear prediction and constrained filtering theory Addresses key issues concerning equilibrium solutions and equivalence relationships in the context of unsupervised equalization criteria Provides a systematic presentation of source separation and independent component analysis Discusses some instigating connections between the filtering problem and computational intelligence approaches. Building on more than a decade of the authors’ work at DSPCom laboratory, this book applies a fresh conceptual treatment and mathematical formalism to important existing topics. The result is perhaps the first unified presentation of unsupervised signal processing techniques—one that addresses areas including digital filters, adaptive methods, and statistical signal processing. With its remarkable synthesis of the field, this book provides a new vision to stimulate progress and contribute to the advent of more useful, efficient, and friendly intelligent systems.

Neural Networks And Statistical Learning Book PDF
✏Book Title : Neural Networks and Statistical Learning
✏Author : Ke-Lin Du
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-12-09
✏Pages : 824
✏ISBN : 9781447155713
✏Available Language : English, Spanish, And French

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✏Neural Networks and Statistical Learning Book Summary : Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Parallel And Distributed Computing Applications And Technologies Book PDF
✏Book Title : Parallel and Distributed Computing Applications and Technologies
✏Author : Kim-Meow Liew
✏Publisher : Springer Science & Business Media
✏Release Date : 2004-12-02
✏Pages : 891
✏ISBN : 9783540240136
✏Available Language : English, Spanish, And French

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✏Parallel and Distributed Computing Applications and Technologies Book Summary : This book constitutes the refereed proceedings of the 5th International Conference on Parallel and Distributed Computing, Applications and Technologies; PDCAT 2004, held in Singapore in December 2004. The 173 papers presented were carefully reviewed and selected from 242 submissions. The papers focus on parallel and distributed computing from the perspectives of algorithms, networking and architecture, software systems and technologies, and applications. Besides classical topics from high performance computing, major recent developments are addressed, such as molecular computing, date mining, knowledge discovery, optical networks, secure computing and communications, wireless networks, mobile computing, component-based systems, Internet computing, and Web Technologies.

Advances In Neural Information Processing Systems 12 Book PDF
✏Book Title : Advances in Neural Information Processing Systems 12
✏Author : Sara A. Solla
✏Publisher : MIT Press
✏Release Date : 2000
✏Pages : 1080
✏ISBN : 0262194503
✏Available Language : English, Spanish, And French

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✏Advances in Neural Information Processing Systems 12 Book Summary : The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.

Adaptive Blind Signal And Image Processing Book PDF
✏Book Title : Adaptive Blind Signal and Image Processing
✏Author : Andrzej Cichocki
✏Publisher : John Wiley & Sons
✏Release Date : 2002-06-14
✏Pages : 586
✏ISBN : 0471607916
✏Available Language : English, Spanish, And French

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✏Adaptive Blind Signal and Image Processing Book Summary : With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation: Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and Equalization. Containing over 1400 references and mathematical expressions Adaptive Blind Signal and Image Processing delivers an unprecedented collection of useful techniques for adaptive blind signal/image separation, extraction, decomposition and filtering of multi-variable signals and data. Offers a broad coverage of blind signal processing techniques and algorithms both from a theoretical and practical point of view Presents more than 50 simple algorithms that can be easily modified to suit the reader's specific real world problems Provides a guide to fundamental mathematics of multi-input, multi-output and multi-sensory systems Includes illustrative worked examples, computer simulations, tables, detailed graphs and conceptual models within self contained chapters to assist self study Accompanying CD-ROM features an electronic, interactive version of the book with fully coloured figures and text. C and MATLAB user-friendly software packages are also provided MATLAB is a registered trademark of The MathWorks, Inc. By providing a detailed introduction to BSP, as well as presenting new results and recent developments, this informative and inspiring work will appeal to researchers, postgraduate students, engineers and scientists working in biomedical engineering, communications, electronics, computer science, optimisations, finance, geophysics and neural networks.

Modern Multivariate Statistical Techniques Book PDF
✏Book Title : Modern Multivariate Statistical Techniques
✏Author : Alan J. Izenman
✏Publisher : Springer Science & Business Media
✏Release Date : 2009-03-02
✏Pages : 733
✏ISBN : 0387781897
✏Available Language : English, Spanish, And French

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✏Modern Multivariate Statistical Techniques Book Summary : This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

Towards A New Cognitive Neuroscience Modeling Natural Brain Dynamics Book PDF
✏Book Title : Towards a New Cognitive Neuroscience Modeling Natural Brain Dynamics
✏Author : Klaus Gramann
✏Publisher : Frontiers E-books
✏Release Date : 2014-10-03
✏Pages : 166
✏ISBN : 9782889192717
✏Available Language : English, Spanish, And French

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✏Towards a New Cognitive Neuroscience Modeling Natural Brain Dynamics Book Summary : Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants’ movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions.

Independent Component Analysis And Blind Signal Separation Book PDF
✏Book Title : Independent Component Analysis and Blind Signal Separation
✏Author : Justinian Rosca
✏Publisher : Springer Science & Business Media
✏Release Date : 2006-02-13
✏Pages : 980
✏ISBN : 3540326308
✏Available Language : English, Spanish, And French

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✏Independent Component Analysis and Blind Signal Separation Book Summary : This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006. The 120 revised papers presented were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.

Independent Component Analysis And Blind Signal Separation Book PDF
✏Book Title : Independent Component Analysis and Blind Signal Separation
✏Author :
✏Publisher :
✏Release Date : 2004
✏Pages :
✏ISBN : UOM:39015061764240
✏Available Language : English, Spanish, And French

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✏Independent Component Analysis and Blind Signal Separation Book Summary :

Advances In Neural Information Processing Systems 16 Book PDF
✏Book Title : Advances in Neural Information Processing Systems 16
✏Author : Sebastian Thrun
✏Publisher : MIT Press
✏Release Date : 2004
✏Pages : 1621
✏ISBN : 0262201526
✏Available Language : English, Spanish, And French

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✏Advances in Neural Information Processing Systems 16 Book Summary : Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.

Adaptive Processing Of Brain Signals Book PDF
✏Book Title : Adaptive Processing of Brain Signals
✏Author : Saeid Sanei
✏Publisher : John Wiley & Sons
✏Release Date : 2013-05-28
✏Pages : 472
✏ISBN : 9781118622148
✏Available Language : English, Spanish, And French

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✏Adaptive Processing of Brain Signals Book Summary : In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed. These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques. Key features: Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI) Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research

📒Natural Image Statistics ✍ Aapo Hyvärinen

Natural Image Statistics Book PDF
✏Book Title : Natural Image Statistics
✏Author : Aapo Hyvärinen
✏Publisher : Springer Science & Business Media
✏Release Date : 2009-04-21
✏Pages : 448
✏ISBN : 9781848824911
✏Available Language : English, Spanish, And French

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✏Natural Image Statistics Book Summary : Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.

Independent Component Analysis And Blind Signal Separation Book PDF
✏Book Title : Independent Component Analysis and Blind Signal Separation
✏Author : Carlos G. Puntonet
✏Publisher : Springer Science & Business Media
✏Release Date : 2004-09-17
✏Pages : 1266
✏ISBN : 9783540230564
✏Available Language : English, Spanish, And French

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✏Independent Component Analysis and Blind Signal Separation Book Summary : tionsalso,apartfromsignalprocessing,withother?eldssuchasstatisticsandarti?cial neuralnetworks. As long as we can ?nd a system that emits signals propagated through a mean, andthosesignalsarereceivedbyasetofsensorsandthereisaninterestinrecovering the originalsources,we have a potential?eld ofapplication forBSS and ICA. Inside thatwiderangeofapplicationswecan?nd,forinstance:noisereductionapplications, biomedicalapplications,audiosystems,telecommunications,andmanyothers. This volume comes out just 20 years after the ?rst contributionsin ICA and BSS 1 appeared . Thereinafter,the numberof research groupsworking in ICA and BSS has been constantly growing, so that nowadays we can estimate that far more than 100 groupsareresearchinginthese?elds. Asproofoftherecognitionamongthescienti?ccommunityofICAandBSSdev- opmentstherehavebeennumerousspecialsessionsandspecialissuesinseveralwell- 1 J.Herault, B.Ans,“Circuits neuronaux à synapses modi?ables: décodage de messages c- posites para apprentissage non supervise”, C.R. de l'Académie des Sciences, vol. 299, no. III-13,pp.525–528,1984.

Journal Of Vlsi Signal Processing Systems For Signal Image And Video Technology Book PDF
✏Book Title : Journal of VLSI Signal Processing Systems for Signal Image and Video Technology
✏Author :
✏Publisher :
✏Release Date : 2000
✏Pages :
✏ISBN : UOM:39015049125274
✏Available Language : English, Spanish, And French

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✏Journal of VLSI Signal Processing Systems for Signal Image and Video Technology Book Summary :

Nonnegative Matrix And Tensor Factorizations Book PDF
✏Book Title : Nonnegative Matrix and Tensor Factorizations
✏Author : Andrzej Cichocki
✏Publisher : John Wiley & Sons
✏Release Date : 2009-07-10
✏Pages : 500
✏ISBN : 0470747285
✏Available Language : English, Spanish, And French

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✏Nonnegative Matrix and Tensor Factorizations Book Summary : This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and image processing, and data analysis, having garnered interest due to their capability to provide new insights and relevant information about the complex latent relationships in experimental data sets. It is suggested that NMF can provide meaningful components with physical interpretations; for example, in bioinformatics, NMF and its extensions have been successfully applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining. As such, the authors focus on the algorithms that are most useful in practice, looking at the fastest, most robust, and suitable for large-scale models. Key features: Acts as a single source reference guide to NMF, collating information that is widely dispersed in current literature, including the authors’ own recently developed techniques in the subject area. Uses generalized cost functions such as Bregman, Alpha and Beta divergences, to present practical implementations of several types of robust algorithms, in particular Multiplicative, Alternating Least Squares, Projected Gradient and Quasi Newton algorithms. Provides a comparative analysis of the different methods in order to identify approximation error and complexity. Includes pseudo codes and optimized MATLAB source codes for almost all algorithms presented in the book. The increasing interest in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential reading for engineers, scientists, researchers, industry practitioners and graduate students across signal and image processing; neuroscience; data mining and data analysis; computer science; bioinformatics; speech processing; biomedical engineering; and multimedia.

Brain Like Computing And Intelligent Information Systems Book PDF
✏Book Title : Brain Like Computing and Intelligent Information Systems
✏Author : Shunichi Amari
✏Publisher : Springer
✏Release Date : 1998
✏Pages : 533
✏ISBN : UOM:39015040177696
✏Available Language : English, Spanish, And French

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✏Brain Like Computing and Intelligent Information Systems Book Summary : This book introduces a new, rapidly expanding area in computer science and artificial intelligence. Brain-like computing combines traditional computational techniques with cognitive models inspired by the brain, for building information systems. Image and speech processing, creative planning and design, adaptive control, knowledge acquisition, and database mining, are only a few areas where brain-like computing is applied.

📒Blind Speech Separation ✍ Shoji Makino

Blind Speech Separation Book PDF
✏Book Title : Blind Speech Separation
✏Author : Shoji Makino
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-09-07
✏Pages : 432
✏ISBN : 9781402064791
✏Available Language : English, Spanish, And French

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✏Blind Speech Separation Book Summary : This is the world’s first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a small number of leading researchers to provide tutorial-like and in-depth treatment on major ICA-based BSS topics, with the objective of becoming the definitive source for current, comprehensive, authoritative, and yet accessible treatment.

Statistical And Process Models For Cognitive Neuroscience And Aging Book PDF
✏Book Title : Statistical and Process Models for Cognitive Neuroscience and Aging
✏Author : Michael J. Wenger
✏Publisher : Psychology Press
✏Release Date : 2012-10-12
✏Pages : 368
✏ISBN : 9781135603359
✏Available Language : English, Spanish, And French

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✏Statistical and Process Models for Cognitive Neuroscience and Aging Book Summary : Statistical and Process Models for Cognitive Neuroscience and Aging addresses methodological techniques for researching cognitive impairment, Alzheimer's disease, the biophysics and structure of the nervous system, the physiology of memory, and the analysis of EEG data. Each chapter, written by the expert in the area, provides a carefully crafted introduction to the subject at hand and the key methodological challenges facing that area of study. Although the chapters describe sophisticated techniques, each is accessible to scientists from a variety of fields. The editors' goal is to expose researchers working on a range of issues associated with cognitive aging to a variety of approaches and technologies, in an effort to cross disciplinary boundaries and further research in cognitive aging. Intended for researchers in cognitive, behavioral, and computational neuroscience, psychometrics, gerontology, cognitive, health, and developmental psychology, radiology, and medical research, this book also serves as a text for graduate level courses in cognitive science and cognitive aging.

Materials Of The Tutorial Lectures In Systems Science Book PDF
✏Book Title : Materials of the Tutorial Lectures in Systems Science
✏Author :
✏Publisher :
✏Release Date : 2003
✏Pages : 217
✏ISBN : UOM:39015058861272
✏Available Language : English, Spanish, And French

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✏Materials of the Tutorial Lectures in Systems Science Book Summary :

📒Brain Computer Interfaces ✍ Bernhard Graimann

Brain Computer Interfaces Book PDF
✏Book Title : Brain Computer Interfaces
✏Author : Bernhard Graimann
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-10-29
✏Pages : 393
✏ISBN : 3642020917
✏Available Language : English, Spanish, And French

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✏Brain Computer Interfaces Book Summary : A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.

Computational Neuroscience Trends In Research 2000 Book PDF
✏Book Title : Computational Neuroscience Trends in Research 2000
✏Author : J.M. Bower
✏Publisher : Elsevier Science Limited
✏Release Date : 2000-07-22
✏Pages : 1135
✏ISBN : UCLA:L0081218521
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Trends in Research 2000 Book Summary : This volume includes papers originally presented at the 8th annual Computational Neuroscience meeting (CNS'99) held in July of 1999 in Pittsburgh, Pennsylvania. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as experimental preparations and theoretical approaches. The papers published here range across vast levels of scale from cellular mechanisms to cognitive brain studies. The subjects of the research include many different preparations from invertebrates to humans. In all cases the work described in this volume is focused on understanding how nervous systems compute. The research described includes subjects like neural coding and neuronal dendrites and reflects a trend towards forging links between cognitive research and neurobiology. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.