Handbook of Blind Source Separation

Independent Component Analysis and Applications

Author: Pierre Comon,Christian Jutten

Publisher: Academic Press

ISBN: 9780080884943

Category: Technology & Engineering

Page: 856

View: 9279

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
Release

On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

Author: Addisson Salazar

Publisher: Springer Science & Business Media

ISBN: 3642307523

Category: Technology & Engineering

Page: 186

View: 5286

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.
Release

Advances in Heuristic Signal Processing and Applications

Author: Amitava Chatterjee,Hadi Nobahari,Patrick Siarry

Publisher: Springer Science & Business Media

ISBN: 3642378803

Category: Computers

Page: 387

View: 1120

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.
Release

Blind Source Separation

Theory and Applications

Author: Xianchuan Yu,Dan Hu,Jindong Xu

Publisher: John Wiley & Sons

ISBN: 1118679873

Category: Technology & Engineering

Page: 416

View: 2728

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.
Release

Independent Component Analysis and Signal Separation

8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings

Author: Tulay Adali,Christian Jutten,Joao Marcos Travassos Romano,Allan Kardec Barros

Publisher: Springer

ISBN: 3642005993

Category: Computers

Page: 785

View: 968

This book constitutes the refereed proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation, ICA 2009, held in Paraty, Brazil, in March 2009. The 97 revised papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on theory, algorithms and architectures, biomedical applications, image processing, speech and audio processing, other applications, as well as a special session on evaluation.
Release

IR-Spektroskopie

Eine Einführung

Author: Helmut G¿nzler,Hans-Ulrich Gremlich

Publisher: John Wiley & Sons

ISBN: 3527662871

Category: Science

Page: 365

View: 1159

Die lange erwartete, vierte Auflage des Lehrbuchklassikers zur IR-Spektroskopie! Will man Substanzen eindeutig charakterisieren und auf ihre Reinheit berpr fen, f hrt kein Weg an der IR-Spektroskopie als Analysemethode vorbei. Pr zise und leicht verst ndlich, aktuell und sehr praxisbezogen lernen die k nftigen Anwender alles, was sie ber die IR-Spektroskopie wissen m ssen: - Aufbau und Handhabung von Spektrometern, - Vorbereitung der Proben und deren Messung, - qualitative Interpretation der Spektren, - quantitative Bestimmungen, - spezielle Anwendungsgebiete und - spezielle und verwandte Methoden. Zahlreiche Hinweise auf weiterf hrende Literatur vermitteln eine gute Orientierung bei speziellen Fragestellungen, und helfen dabei, sich zum Experten weiterzuentwickeln.
Release

Matlab für Dummies

Author: Jim Sizemore

Publisher: John Wiley & Sons

ISBN: 352780871X

Category: Computers

Page: 416

View: 3542

Ob Naturwissenschaftler, Mathematiker, Ingenieur oder Datenwissenschaftler - mit MATLAB haben Sie ein mächtiges Tool in der Hand, das Ihnen die Arbeit mit Ihren Daten erleichtert. Aber wie das mit manch mächtigen Dingen so ist - es ist auch ganz schön kompliziert. Aber keine Sorge! Jim Sizemore führt Sie in diesem Buch Schritt für Schritt an das Programm heran - von der Installation und den ersten Skripten bis hin zu aufwändigen Berechnungen, der Erstellung von Grafiken und effizienter Fehlerbehebung. Sie werden begeistert sein, was Sie mit MATLAB alles anstellen können.
Release

Independent Component Analysis and Blind Signal Separation

Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, Proceedings

Author: Carlos G. Puntonet,Alberto Prieto

Publisher: Springer

ISBN: N.A

Category: Computers

Page: 1266

View: 3248

This book constitutes the refereed proceedings of the 5th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2004, held in Granada, Spain, in September 2004. The 156 revised papers presented were carefully reviewed and selected from 203 submissions. The papers are organized in topical sections on theory and foundations, linear models, covolutive models, nonlinear models, speech processing applications, image processing applications, biomedical applications, and other applications.
Release

Biomedical Signal Analysis

Contemporary Methods and Applications

Author: Fabian J. Theis,Anke Meyer-Bäse

Publisher: MIT Press

ISBN: 0262013282

Category: Computers

Page: 415

View: 6330

A comprehensive introduction to innovative methods in the field of biomedical signal analysis, covering both theory and practice. Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling. Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook.
Release

Communications numériques

Cours et exercices à l'usage de l'élève ingénieur

Author: Pierre Comon

Publisher: Editions L'Harmattan

ISBN: 2296265499

Category: Science

Page: 118

View: 5762

Les télécommunications numériques comportent trois aspects : l'aspect hardware, l'aspect protocoles et réseaux et l'aspect traitement du signal. Cet ouvrage n'aborde que le troisième aspect. Il couvre les questions de modulation, de démodulation et d'évaluation des taux d'erreurs de transmission. Les questions relatives au codage source et au codage canal ne sont pas traitées.
Release

The SQUID Handbook

Applications of SQUIDs and SQUID Systems

Author: John Clarke,Alex I. Braginski

Publisher: Wiley-VCH

ISBN: 9783527404087

Category: Science

Page: 653

View: 4573

This two-volume handbook offers a comprehensive and coordinated presentation of SQUIDs (Superconducting Quantum Interference Devices), including device fundamentals, design, technology, system construction and multiple applications. It is intended to bridge the gap between fundamentals and applications, and will be a valuable textbook reference for graduate students and for professionals engaged in SQUID research and engineering. It will also be of use to specialists in multiple fields of practical SQUID applications, from human brain research and heart diagnostics to airplane and nuclear plant testing to prospecting for oil, minerals and buried ordnance. While the first volume presents the theory and fabrication of SQUIDs, the second volume is devoted to applications. It starts with an important aspect of the analysis of measured magnetic signals generated by current sources (the inverse problem), and includes several chapters devoted to various areas of application, namely biomagnetism (research on and diagnostics of human brain, heart, liver, etc.), detection of extremely weak signals, for example electromagnetic radiation and Nuclear Magnetic Resonance. The volume closes with a chapter on motion detectors and the detection of gravity waves.
Release

Medical Imaging

Physiology, function, and structure from medical images

Author: Amir A. Amini,Armando Manduca,Xiaoping Hu,American Association of Physicists in Medicine,SPIE Digital Library

Publisher: Society of Photo Optical

ISBN: 9780819466297

Category: Blood-vessels

Page: N.A

View: 1903

Release