Blind Source Separation

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.

Produk Detail:

  • Author : Ganesh R. Naik
  • Publisher : Springer
  • Pages : 551 pages
  • ISBN : 3642550169
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBlind Source Separation

Blind Source Separation

Blind Source Separation
  • Author : Ganesh R. Naik,Wenwu Wang
  • Publisher : Springer
  • Release : 21 May 2014
GET THIS BOOKBlind Source Separation

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

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
  • Author : Dajiang Zhu,Jingwen Yan,Heng Huang,Li Shen,Paul M. Thompson,Carl-Fredrik Westin,Xavier Pennec,Sarang Joshi,Mads Nielsen,Tom Fletcher,Stanley Durrleman,Stefan Sommer
  • Publisher : Springer Nature
  • Release : 10 October 2019
GET THIS BOOKMultimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

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

Handbook of Blind Source Separation

Handbook of Blind Source Separation
  • Author : Pierre Comon,Christian Jutten
  • Publisher : Academic Press
  • Release : 17 February 2010
GET THIS BOOKHandbook of Blind Source Separation

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

Adaptive Blind Signal and Image Processing

Adaptive Blind Signal and Image Processing
  • Author : Andrzej Cichocki,Shun-ichi Amari
  • Publisher : John Wiley & Sons
  • Release : 14 June 2002
GET THIS BOOKAdaptive Blind Signal and Image Processing

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

Blind Source Separation

Blind Source Separation
  • Author : Xianchuan Yu,Dan Hu,Jindong Xu
  • Publisher : John Wiley & Sons
  • Release : 13 December 2013
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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.

Blind Source Separation

Blind Source Separation
  • Author : Yong Xiang,Dezhong Peng,Zuyuan Yang
  • Publisher : Springer
  • Release : 16 September 2014
GET THIS BOOKBlind Source Separation

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.

Independent Component Analysis

Independent Component Analysis
  • Author : Aapo Hyvärinen,Juha Karhunen,Erkki Oja
  • Publisher : John Wiley & Sons
  • Release : 05 April 2004
GET THIS BOOKIndependent Component Analysis

A comprehensive introduction to ICA for students andpractitioners Independent Component Analysis (ICA) is one of the most excitingnew topics in fields such as neural networks, advanced statistics,and signal processing. This is the first book to provide acomprehensive introduction to this new technique complete with thefundamental mathematical background needed to understand andutilize it. It offers a general overview of the basics of ICA,important solutions and algorithms, and in-depth coverage of newapplications in image processing, telecommunications, audio signalprocessing, and more.

2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(

2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(
  • Author : IEEE Staff
  • Publisher : Unknown Publisher
  • Release : 10 March 2017
GET THIS BOOK2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(

Big Data overall architecture consists of three layers data storage, data processing and data analysis Data storage layer stores complex type and mass data, data processing layer realizes real time processing of massive data, and only through data analysis layer, smart, in depth and valuable information are got When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety, Velocity, Veracity Big data processing key technology generally includes data acquisition, data preprocessing,

Biomedical Signals, Imaging, and Informatics

Biomedical Signals, Imaging, and Informatics
  • Author : Joseph D. Bronzino,Donald R. Peterson
  • Publisher : CRC Press
  • Release : 16 December 2014
GET THIS BOOKBiomedical Signals, Imaging, and Informatics

Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering. Biomedical Signals, Imaging, and Informatics, the third volume of the handbook, presents material from respected scientists with diverse backgrounds in biosignal processing, medical imaging, infrared imaging, and medical informatics. More than three dozen specific topics are

Image Analysis and Recognition

Image Analysis and Recognition
  • Author : Aurélio Campilho,Mohamed Kamel
  • Publisher : Springer
  • Release : 21 September 2006
GET THIS BOOKImage Analysis and Recognition

The two-volume set LNCS 4141, and LNCS 4142 constitutes the refereed proceedings of the Third International Conference on Image Analysis and Recognition, ICIAR 2006. The volumes present 71 revised full papers and 92 revised poster papers together with 2 invited lectures. Volume II includes papers on pattern recognition for image analysis, computer vision, biometrics, shape and matching, brain imaging, remote sensing image processing, and more.

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Functional Brain Mapping and the Endeavor to Understand the Working Brain
  • Author : Francesco Signorelli,Domenico Chirchiglia
  • Publisher : BoD – Books on Demand
  • Release : 19 June 2013
GET THIS BOOKFunctional Brain Mapping and the Endeavor to Understand the Working Brain

Functional brain mapping has by now gained a high impact on research and clinical practice: huge funds are unveiled all over the world in order to boost the research and clinical applications of this field of neuroscience. The most successful approach to unlock the mysteries of the brain, to tell it with Jay Ingram, is to bring together an interdisciplinary network of scientists and clinicians and encourage an interchange of ideas. It is this crossfire we try to promote with

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Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities
  • Author : Danail Stoyanov,Zeike Taylor,Enzo Ferrante,Adrian V. Dalca,Anne Martel,Lena Maier-Hein,Sarah Parisot,Aristeidis Sotiras,Bartlomiej Papiez,Mert R. Sabuncu,Li Shen
  • Publisher : Springer
  • Release : 15 September 2018
GET THIS BOOKGraphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities

This book constitutes the refereed joint proceedings of the Second International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and the First International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 6 full papers presented at GRAIL 2018 and the 5 full papers presented at BeYond MIC 2018 were carefully reviewed and selected. The GRAIL papers cover a wide range of

4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium

4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium
  • Author : Jos van der Sloten,Pascal Verdonck,Marc Nyssen,Jens Haueisen
  • Publisher : Springer Science & Business Media
  • Release : 04 February 2009
GET THIS BOOK4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium

The 4th European Congress of the International Federation for Medical and Biological Federation was held in Antwerp, November 2008. The scientific discussion on the conference and in this conference proceedings include the following issues: Signal & Image Processing ICT Clinical Engineering and Applications Biomechanics and Fluid Biomechanics Biomaterials and Tissue Repair Innovations and Nanotechnology Modeling and Simulation Education and Professional

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Face Image Analysis by Unsupervised Learning
  • Author : Marian Stewart Bartlett
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKFace Image Analysis by Unsupervised Learning

Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention

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Cognition and neuroimaging in schizophrenia
  • Author : Kenneth Hugdahl,Vince D. Calhoun
  • Publisher : Frontiers E-books
  • Release : 01 August 2021
GET THIS BOOKCognition and neuroimaging in schizophrenia

Last year we edited a Frontiers Research Topic on “An update on neurocognitive impairment in schizophrenia and depression”. We are now following-up this initiative with a new invitation, focusing on “Cognition and neuroimaging in schizophrenia”, thus narrowing the focus on schizophrenia, but expanding the focus to functional and structural neuroimaging to reveal the underlying neuronal architecture behind cognitive impairments. A second focus is closing in on auditory hallucinations and "hearing voices" in the general population by non-psychotic individuals. This has