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A key task of engineers is to design and analyse systems; however, they often have to do this without knowing a system's parameters. BSS is a very important area in signal processing as it enables engineers to derive the unknown inputs of a system from its known outputs. It also enables the separation of a set of signals from mixed set of signals. This is particularly important in telecommunications and biomedical engineering but is also key in speech, acoustic, audio and music processing and scientific data analysis. It is, therefore, a method that has wide applicability and is a very useful

Blind source separation. --- Source separation (Signal processing) --- Separation, Signal --- Separation, Source (Signal processing) --- Signal separation --- Signal processing --- Blind signal separation --- BSS (Blind source separation)

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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.

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Technologisch onderzoek --- Colloquia --- Informatica

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Au cours des dernières décennies, les progrès technologiques ont débouché sur le développement de nouveaux capteurs et des moyens de calculs très performants permettant l'acquisition et le traitement très rapide, voire en temps réel, de très grandes quantités de signaux et d'images. Ces avancées ont impacté de nombreux domaines, aboutissant dans le secteur de la santé à des techniques révolutionnaires pour visualiser le corps. Ces nouvelles imageries pour la santé incluent des méthodes de visualisation des organes jusqu'à l'échelle cellulaire ou moléculaire, des méthodes d'évaluation permettant de vérifier le bon fonctionnement des organes, et des méthodes de suivi interventionnel permettant de guider les gestes du praticien hospitalier ou du chirurgien. L'apport des sciences du numérique et de l'intelligence artificielle est essentiel pour ces nouvelles technologies, et permet au corps médical d'analyser rapidement de très grandes quantités d'images, de les traiter conjointement lorsqu'elles proviennent de différents dispositifs et d'exploiter les données des praticiens du monde entier. Mais l'utilisation de ces nouvelles technologies pose également des problèmes sociétaux, notamment de formation des soignants et d'acceptation, tant par le patient que par le praticien. Enfin, le partage de données médicales soulève des questions d'éthique et de préservation de la vie privée. Abondamment illustré, en 17 articles indépendants, Le corps en images aborde toutes ces questions et présente les progrès récents et les perspectives de l'imagerie médicale, un domaine qui nous concerne tous.

Diagnostic Imaging. --- Human Body --- Imagerie médicale. --- Corps humain. --- Innovations technologiques. --- Médecine --- Imagerie diagnostique. --- Inventions. --- Informatique. --- Imaging systems in medicine --- Diagnostic Imaging --- Digital Technology --- Imagerie médicale --- Corps humain --- Innovation. --- Médecine --- Technological innovations --- trends --- Informatique --- Technological innovations. --- Human Body. --- Diagnostic Techniques and Procedures --- Inventions