Source Seperation
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Blind Source Separation
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Author : Ganesh R. Naik
language : en
Publisher: Springer
Release Date : 2014-05-21
Blind Source Separation written by Ganesh R. Naik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-21 with Technology & Engineering categories.
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.
Blind Source Separation
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Author : Xianchuan Yu
language : en
Publisher: John Wiley & Sons
Release Date : 2013-12-13
Blind Source Separation written by Xianchuan Yu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-13 with Technology & Engineering categories.
A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style. This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field. A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition Written by an expert team with accredited innovations in blind source separation and its applications in natural science Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.
Handbook Of Blind Source Separation
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Author : Pierre Comon
language : en
Publisher: Academic Press
Release Date : 2010-02-17
Handbook Of Blind Source Separation written by Pierre Comon and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-17 with Technology & Engineering categories.
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
Nonlinear Source Separation
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Author : Luis B. Almeida
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2006-12-01
Nonlinear Source Separation written by Luis B. Almeida and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-01 with Technology & Engineering categories.
The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years. This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years.
Blind Source Separation
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Author : Yong Xiang
language : en
Publisher: Springer
Release Date : 2014-09-16
Blind Source Separation written by Yong Xiang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-16 with Technology & Engineering categories.
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.
Audio Source Separation
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Author : Shoji Makino
language : en
Publisher: Springer
Release Date : 2018-03-01
Audio Source Separation written by Shoji Makino and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-01 with Technology & Engineering categories.
This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non-negative matrix factorization (NMF). After an introduction to the technique, two further chapters describe separation of known sources using non-negative spectrogram factorization, and temporal NMF models. In section two, NMF methods are extended to multi-channel source separation. Section three introduces deep neural network (DNN) techniques, with chapters on multichannel and single channel separation, and a further chapter on DNN based mask estimation for monaural speech separation. In section four, sparse component analysis (SCA) is discussed, with chapters on source separation using audio directional statistics modelling, multi-microphone MMSE-based techniques and diffusion map methods. The book brings together leading researchers to provide tutorial-like and in-depth treatments on major audio source separation topics, with the objective of becoming the definitive source for a comprehensive, authoritative, and accessible treatment. This book is written for graduate students and researchers who are interested in audio source separation techniques based on NMF, DNN and SCA.
Nonlinear Blind Source Separation And Blind Mixture Identification
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Author : Yannick Deville
language : en
Publisher: Springer Nature
Release Date : 2021-02-02
Nonlinear Blind Source Separation And Blind Mixture Identification written by Yannick Deville and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-02 with Technology & Engineering categories.
This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities.
Source Separation And Machine Learning
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Author : Jen-Tzung Chien
language : en
Publisher: Academic Press
Release Date : 2018-11-01
Source Separation And Machine Learning written by Jen-Tzung Chien and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-01 with Technology & Engineering categories.
Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation. Emphasizes the modern model-based Blind Source Separation (BSS) which closely connects the latest research topics of BSS and Machine Learning Includes coverage of Bayesian learning, sparse learning, online learning, discriminative learning and deep learning Presents a number of case studies of model-based BSS (categorizing them into four modern models - ICA, NMF, NTF and DNN), using a variety of learning algorithms that provide solutions for the construction of BSS systems
Source Separation And Decentralization For Wastewater Management
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Author : Tove A. Larsen
language : en
Publisher: IWA Publishing
Release Date : 2013-02-01
Source Separation And Decentralization For Wastewater Management written by Tove A. Larsen and has been published by IWA Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-01 with Science categories.
Is sewer-based wastewater treatment really the optimal technical solution in urban water management? This paradigm is increasingly being questioned. Growing water scarcity and the insight that water will be an important limiting factor for the quality of urban life are main drivers for new approaches in wastewater management. Source Separation and Decentralization for Wastewater Management sets up a comprehensive view of the resources involved in urban water management. It explores the potential of source separation and decentralization to provide viable alternatives to sewer-based urban water management. During the 1990s, several research groups started working on source-separating technologies for wastewater treatment. Source separation was not new, but had only been propagated as a cheap and environmentally friendly technology for the poor. The novelty was the discussion whether source separation could be a sustainable alternative to existing end-of-pipe systems, even in urban areas and industrialized countries. Since then, sustainable resource management and many different source-separating technologies have been investigated. The theoretical framework and also possible technologies have now developed to a more mature state. At the same time, many interesting technologies to process combined or concentrated wastewaters have evolved, which are equally suited for the treatment of source-separated domestic wastewater. The book presents a comprehensive view of the state of the art of source separation and decentralization. It discusses the technical possibilities and practical experience with source separation in different countries around the world. The area is in rapid development, but many of the fundamental insights presented in this book will stay valid. Source Separation and Decentralization for Wastewater Management is intended for all professionals and researchers interested in wastewater management, whether or not they are familiar with source separation. Editors: Tove A. Larsen, Kai M. Udert and Judit Lienert, Eawag - Swiss Federal Institute of Aquatic Science and Technology, Switzerland. Contributors: Yuval Alfiya, Technion - Israel Institute of Technology, Faculty of Civil and Environmental Engineering; Prof. Dr. M. Bruce Beck, University of Georgia, Warnell School of Forestry and Natural Resources; Dr. Christian Binz, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Innovation Research in Utility Sectors (Cirus); Prof. em. Dr. Markus Boller, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Urban Water Management (SWW); Prof. Dr. Eran Friedler, Technion – Israel Institute of Technology, Faculty of Civil and Environmental Engineering; Zenah Bradford-Hartke, The University of New South Wales, School of Chemical Engineering and UNESCO Centre for Membrane Science and Technology; Dr. Shelley Brown-Malker, Very Small Particle Company Ltd; Bert Bundervoet, Ghent University, Laboratory Microbial Ecology and Technology (LabMET); Prof. Dr. David Butler, University of Exeter, Centre for Water Systems; Dr. Christopher A. Buzie, Hamburg University of Technology, Institute of Wastewater Management and Water Protection; Dr. Dana Cordell, University of Technology, Sydney (UTS), Institute for Sustainable Futures (ISF); Dr. Vasileios Diamantis, Democritus University of Thrace, Department of Environmental Engineering; Prof. Dr. Jan Willem Erisman, Louis Bolk Institute; VU University Amsterdam, Department of Earth Sciences; Barbara Evans, University of Leeds, School of Civil Engineering; Prof. Dr. Malin Falkenmark, Stockholm International Water Institute; Dr. Ted Gardner, Central Queensland University, Institute for Resource Industries and Sustainability; Dr. Heiko Gebauer, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Innovation Research in Utility Sectors (Cirus); Prof. em. Dr. Willi Gujer, Swiss Federal Institute of Technology Zürich (ETHZ), Department of Civil, Environmental and Geomatic Engineering (BAUG); Prof. Dr. Bruce Jefferson, Cranfield University, Cranfield Water Science Institute; Prof. Dr. Paul Jeffrey, Cranfield University, Cranfield Water Science Institute; Sarina Jenni, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Process Engineering Department (Eng); Prof. Dr. Håkan Jönsson, SLU - Swedish University of Agricultural Sciences, Department of Energy and Technology; Prof. Dr. Ïsik Kabdasli, Ïstanbul Technical University, Civil Engineering Faculty; Prof. Dr. Jörg Keller, The University of Queensland, Advanced Water Management Centre (AWMC); Prof. Dr. Klaus Kömmerer, Leuphana Universität Lüneburg, Institute of Sustainable and Environmental Chemistry; Dr. Katarzyna Kujawa-Roeleveld, Wageningen University, Agrotechnology and Food Sciences Group; Dr. Tove A. Larsen, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Urban Water Management (SWW); Michele Laureni, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Process Engineering Department (Eng); Prof. Dr. Gregory Leslie, The University of New South Wales, School of Chemical Engineering and UNESCO Centre for Membrane Science and Technology; Dr. Harold Leverenz, University of California at Davis, Department of Civil and Environmental Engineering; Dr. Judit Lienert, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Environmental Social Sciences (ESS); Prof. Dr. Jürg Londong, Bauhaus-Universität Weimar, Department of Urban Water Management and Sanitation; Dr. Christoph Lüthi, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Water and Sanitation in Developing Countries (Sandec); Prof. Dr. Max Maurer, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Urban Water Management (SWW); Swiss Federal Institute of Technology Zürich (ETHZ), Department of Civil, Environmental and Geomatic Engineering; Prof. em. Dr. Gustaf Olsson, Lund University, Department of Measurement Technology and Industrial Electrical Engineering (MIE); Prof. Dr. Ralf Otterpohl, Hamburg University of Technology, Institute of Wastewater Management and Water Protection; Dr. Bert Palsma, STOWA, Dutch Foundation for Applied Water Research; Dr. Arne R. Panesar, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH; Prof. Dr. Bruce E. Rittmann, Arizona State University, Swette Center for Environmental Biotechnology; Prof. Dr. Hansruedi Siegrist, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Process Engineering Department (Eng); Dr. Ashok Sharma, Commonwealth Scientific and Industrial Research Organisation, Australia, Land and Water Division; Prof. Dr. Thor Axel Stenström, Stockholm Environment Institute, Bioresources Group; Norwegian University of Life Sciences, Department of Mathematical Science and Technology; Dr. Eckhard Störmer, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Innovation Research in Utility Sectors (Cirus); Bjartur Swart, STOWA, Dutch Foundation for Applied Water Research; MWH North Europe; Prof. em. Dr. George Tchobanoglous, University of California at Davis, Department of Civil and Environmental Engineering; Elizabeth Tilley, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Water and Sanitation in Developing Countries (Sandec); Swiss Federal Institute of Technology Zürich (ETHZ), Centre for Development and Cooperation (NADEL); Prof. Dr. Bernhard Truffer, Eawag, Swiss Federal Institute of Aquatic Science and Technology; Innovation Research in Utility Sectors (Cirus); Prof. Dr. Olcay Tünay, Ïstanbul Technical University, Civil Engineering Faculty; Dr. Kai M. Udert, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Process Engineering Department (Eng); Prof. em. Dr. Willy Verstraete, Ghent University, Laboratory Microbial Ecology and Technology (LabMET); Prof. Dr. Björn Vinnerås, SLU - Swedish University of Agricultural Sciences, Department of Energy and Technology; Prof. Dr. Urs von Gunten, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Water Resources and Drinking Water (W+T); Ecole Polytechnique Fédérale de Lausanne (EPFL),School of Architecture, Civil and Environmental Engineering (ENAC); Prof. em. Dr. Peter A. Wilderer, Technische Universität München, Institute for Advanced Study; Prof. Dr. Jun Xia, Chinese Academy of Sciences (CAS), Center for Water Resources Research and Key Laboratory of Water Cycle and Related Surface Processes; Prof. Dr. Grietje Zeeman, Wageningen University, Agrotechnology and Food Sciences Group
Blind Source Separation
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Author :
language : en
Publisher:
Release Date : 2005
Blind Source Separation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
