Handbook Of Blind Source Separation Independent Component Analysis And Applications

Author : Pierre Comon,Christian Jutten
Publisher : Academic Press
Page : 856 pages
File Size : 45,6 Mb
Release : 2010-02-17
Category : Technology & Engineering
ISBN : 9780080884943

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Handbook of Blind Source Separation by Pierre Comon,Christian Jutten Pdf

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

Author : Pierre Comon,Christian Jutten
Publisher : Unknown
Page : 831 pages
File Size : 44,5 Mb
Release : 2010
Category : Blind source separation
ISBN : OCLC:647909952

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Handbook of blind source separation : independent component analysis and applications by Pierre Comon,Christian Jutten Pdf

Author : Addisson Salazar
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 49,8 Mb
Release : 2012-07-20
Category : Technology & Engineering
ISBN : 9783642307522

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling by Addisson Salazar Pdf

A natural evolution of statistical signal processing, in connection with the progressive increase in computational power, has been exploiting higher-order information. Thus, high-order spectral analysis and nonlinear adaptive filtering have received the attention of many researchers. One of the most successful techniques for non-linear processing of data with complex non-Gaussian distributions is the independent component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which unifies a certain number of pattern recognition tasks allowing generalization. The versatile and powerful framework developed in this work can deal with data obtained from quite different areas, such as image processing, impact-echo testing, cultural heritage, hypnograms analysis, web-mining and might therefore be employed to solve many different real-world problems.

Author : Ganesh R. Naik
Publisher : BoD – Books on Demand
Page : 360 pages
File Size : 52,6 Mb
Release : 2012-10-10
Category : Medical
ISBN : 9789535107828

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Independent Component Analysis for Audio and Biosignal Applications by Ganesh R. Naik Pdf

Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues. This book brings the state-of-the-art of some of the most important current research of ICA related to Audio and Biomedical signal processing applications. The book is partly a textbook and partly a monograph. It is a textbook because it gives a detailed introduction to ICA applications. It is simultaneously a monograph because it presents several new results, concepts and further developments, which are brought together and published in the book.

Author : Yong Xiang,Dezhong Peng,Zuyuan Yang
Publisher : Springer
Page : 101 pages
File Size : 41,9 Mb
Release : 2014-09-16
Category : Technology & Engineering
ISBN : 9789812872272

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Blind Source Separation by Yong Xiang,Dezhong Peng,Zuyuan Yang Pdf

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.

Author : Xianchuan Yu,Dan Hu,Jindong Xu
Publisher : John Wiley & Sons
Page : 369 pages
File Size : 46,9 Mb
Release : 2013-12-13
Category : Technology & Engineering
ISBN : 9781118679876

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Blind Source Separation by Xianchuan Yu,Dan Hu,Jindong Xu Pdf

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.

Author : Ganesh R. Naik,Wenwu Wang
Publisher : Springer
Page : 549 pages
File Size : 42,9 Mb
Release : 2014-05-21
Category : Technology & Engineering
ISBN : 9783642550164

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Blind Source Separation by Ganesh R. Naik,Wenwu Wang Pdf

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.

Author : Amitava Chatterjee,Hadi Nobahari,Patrick Siarry
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 52,8 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783642378805

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Advances in Heuristic Signal Processing and Applications by Amitava Chatterjee,Hadi Nobahari,Patrick Siarry Pdf

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems. In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking. The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.

Author : Yannick Deville,Leonardo Tomazeli Duarte,Shahram Hosseini
Publisher : Springer Nature
Page : 75 pages
File Size : 53,6 Mb
Release : 2021-02-02
Category : Technology & Engineering
ISBN : 9783030649777

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Nonlinear Blind Source Separation and Blind Mixture Identification by Yannick Deville,Leonardo Tomazeli Duarte,Shahram Hosseini Pdf

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.

Author : Ella Bingham,Samuel Kaski,Jorma Laaksonen,Jouko Lampinen
Publisher : Academic Press
Page : 328 pages
File Size : 44,6 Mb
Release : 2015-05-14
Category : Technology & Engineering
ISBN : 9780128028070

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Advances in Independent Component Analysis and Learning Machines by Ella Bingham,Samuel Kaski,Jorma Laaksonen,Jouko Lampinen Pdf

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval A review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning. A diverse set of application fields, ranging from machine vision to science policy data. Contributions from leading researchers in the field.

Author : Fabian Theis,Andrzej Cichocki,Arie Yeredor,Michael Zibulevsky
Publisher : Springer
Page : 538 pages
File Size : 51,7 Mb
Release : 2012-02-09
Category : Computers
ISBN : 9783642285516

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Latent Variable Analysis and Signal Separation by Fabian Theis,Andrzej Cichocki,Arie Yeredor,Michael Zibulevsky Pdf

This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in March 2012. The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.

Author : Petr Tichavský,Massoud Babaie-Zadeh,Olivier J.J. Michel,Nadège Thirion-Moreau
Publisher : Springer
Page : 578 pages
File Size : 49,8 Mb
Release : 2017-02-13
Category : Computers
ISBN : 9783319535470

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Latent Variable Analysis and Signal Separation by Petr Tichavský,Massoud Babaie-Zadeh,Olivier J.J. Michel,Nadège Thirion-Moreau Pdf

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing.

Author : Sadkhan Al Maliky, Sattar B.
Publisher : IGI Global
Page : 463 pages
File Size : 46,9 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781466658097

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Multidisciplinary Perspectives in Cryptology and Information Security by Sadkhan Al Maliky, Sattar B. Pdf

With the prevalence of digital information, IT professionals have encountered new challenges regarding data security. In an effort to address these challenges and offer solutions for securing digital information, new research on cryptology methods is essential. Multidisciplinary Perspectives in Cryptology and Information Security considers an array of multidisciplinary applications and research developments in the field of cryptology and communication security. This publication offers a comprehensive, in-depth analysis of encryption solutions and will be of particular interest to IT professionals, cryptologists, and researchers in the field.

Author : Yannick Deville,Sharon Gannot,Russell Mason,Mark D. Plumbley,Dominic Ward
Publisher : Springer
Page : 580 pages
File Size : 55,7 Mb
Release : 2018-06-05
Category : Computers
ISBN : 9783319937649

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Latent Variable Analysis and Signal Separation by Yannick Deville,Sharon Gannot,Russell Mason,Mark D. Plumbley,Dominic Ward Pdf

This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.

Author : Ganesh R. Naik
Publisher : Springer
Page : 194 pages
File Size : 42,6 Mb
Release : 2015-09-25
Category : Technology & Engineering
ISBN : 9783662483312

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Non-negative Matrix Factorization Techniques by Ganesh R. Naik Pdf

This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.