Handbook Of Blind Source Separation

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Handbook of Blind Source Separation

Author : Pierre Comon,Christian Jutten
Publisher : Academic Press
Page : 856 pages
File Size : 53,6 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

Unsupervised Signal Processing

Author : João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama
Publisher : CRC Press
Page : 340 pages
File Size : 43,9 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781420019469

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Unsupervised Signal Processing by João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama Pdf

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.

Handbook on Array Processing and Sensor Networks

Author : Simon Haykin,K. J. Ray Liu
Publisher : John Wiley & Sons
Page : 924 pages
File Size : 46,7 Mb
Release : 2010-02-12
Category : Science
ISBN : 0470487054

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Handbook on Array Processing and Sensor Networks by Simon Haykin,K. J. Ray Liu Pdf

A handbook on recent advancements and the state of the art in array processing and sensor Networks Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks. Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks. Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.

Blind Estimation Using Higher-Order Statistics

Author : Asoke Kumar Nandi
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 55,8 Mb
Release : 2013-04-17
Category : Technology & Engineering
ISBN : 9781475729856

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Blind Estimation Using Higher-Order Statistics by Asoke Kumar Nandi Pdf

In the signal-processing research community, a great deal of progress in higher-order statistics (HOS) began in the mid-1980s. These last fifteen years have witnessed a large number of theoretical developments as well as real applications. Blind Estimation Using Higher-Order Statistics focuses on the blind estimation area and records some of the major developments in this field. Blind Estimation Using Higher-Order Statistics is a welcome addition to the few books on the subject of HOS and is the first major publication devoted to covering blind estimation using HOS. The book provides the reader with an introduction to HOS and goes on to illustrate its use in blind signal equalisation (which has many applications including (mobile) communications), blind system identification, and blind sources separation (a generic problem in signal processing with many applications including radar, sonar and communications). There is also a chapter devoted to robust cumulant estimation, an important problem where HOS results have been encouraging. Blind Estimation Using Higher-Order Statistics is an invaluable reference for researchers, professionals and graduate students working in signal processing and related areas.

Handbook of Research on Recent Developments in Electrical and Mechanical Engineering

Author : Zbitou, Jamal,Pruncu, Catalin Iulian,Errkik, Ahmed
Publisher : IGI Global
Page : 553 pages
File Size : 53,5 Mb
Release : 2019-09-27
Category : Technology & Engineering
ISBN : 9781799801184

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Handbook of Research on Recent Developments in Electrical and Mechanical Engineering by Zbitou, Jamal,Pruncu, Catalin Iulian,Errkik, Ahmed Pdf

Technological advancements continue to enhance the field of engineering and have led to progress in branches that include electrical and mechanical engineering. These technologies have allowed for more sophisticated circuits and components while also advancing renewable energy initiatives. With increased growth in these fields, there is a need for a collection of research that details the variety of works being studied in our globalized world. The Handbook of Research on Recent Developments in Electrical and Mechanical Engineering is a pivotal reference source that discusses the latest advancements in these engineering fields. Featuring research on topics such as materials manufacturing, microwave photons, and wireless power transfer, this book is ideally designed for graduate students, researchers, engineers, manufacturing managers, and academicians seeking coverage on the works and experiences achieved in electrical and mechanical engineering.

Sensor Technology: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1618 pages
File Size : 54,6 Mb
Release : 2020-02-07
Category : Technology & Engineering
ISBN : 9781799824558

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Sensor Technology: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Collecting and processing data is a necessary aspect of living in a technologically advanced society. Whether it’s monitoring events, controlling different variables, or using decision-making applications, it is important to have a system that is both inexpensive and capable of coping with high amounts of data. As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness as well as other opportunities for possible implementation in the future. Sensor Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that brings together new ways to process and monitor data and to put it to work in everything from intelligent transportation systems to healthcare to multimedia applications. It also provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Highlighting a range of topics such as internet of things, signal processing hardware, and wireless sensor technologies, this multi-volume book is ideally designed for research and development engineers, IT specialists, developers, graduate students, academics, and researchers.

Blind Source Separation

Author : Ganesh R. Naik,Wenwu Wang
Publisher : Springer
Page : 549 pages
File Size : 49,5 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.

Blind Source Separation

Author : Yong Xiang,Dezhong Peng,Zuyuan Yang
Publisher : Springer
Page : 101 pages
File Size : 51,6 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.

Blind Source Separation

Author : Xianchuan Yu,Dan Hu,Jindong Xu
Publisher : John Wiley & Sons
Page : 369 pages
File Size : 40,6 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.

Handbook of Neural Network Signal Processing

Author : Yu Hen Hu,Jenq-Neng Hwang
Publisher : CRC Press
Page : 408 pages
File Size : 47,8 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420038613

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Handbook of Neural Network Signal Processing by Yu Hen Hu,Jenq-Neng Hwang Pdf

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

Springer Handbook of Speech Processing

Author : Jacob Benesty,M. M. Sondhi,Yiteng Huang
Publisher : Springer Science & Business Media
Page : 1170 pages
File Size : 49,7 Mb
Release : 2007-11-28
Category : Technology & Engineering
ISBN : 9783540491255

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Springer Handbook of Speech Processing by Jacob Benesty,M. M. Sondhi,Yiteng Huang Pdf

This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Nonlinear Blind Source Separation and Blind Mixture Identification

Author : Yannick Deville,Leonardo Tomazeli Duarte,Shahram Hosseini
Publisher : Springer Nature
Page : 75 pages
File Size : 47,5 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.

Sparse Image and Signal Processing

Author : Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili
Publisher : Cambridge University Press
Page : 351 pages
File Size : 42,5 Mb
Release : 2010-05-10
Category : Computers
ISBN : 9780521119139

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Sparse Image and Signal Processing by Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili Pdf

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research available for download at the associated Web site.

Blind Speech Separation

Author : Shoji Makino,Te-Won Lee,Hiroshi Sawada
Publisher : Springer Science & Business Media
Page : 439 pages
File Size : 55,7 Mb
Release : 2007-09-07
Category : Technology & Engineering
ISBN : 9781402064791

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Blind Speech Separation by Shoji Makino,Te-Won Lee,Hiroshi Sawada Pdf

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.