• Loin de l'approche austère des universitaires, Yu Dan nous propose une relecture lumineuse et vivante des enseignements de ce sage rebelle, considéré comme le premier des anarchistes. Chantre d'une vie de liberté affranchie de toute contrainte, Tchouang-tseu nous apprend à nous méfier des honneurs, à rester fidèles à nos rêves de jeunesse et à nos vraies passions, pour nous dépasser et réussir à soulever des montagnes. Et, quand nous nous sentons enfermés dans nos sociétés consuméristes et frénétiques, il nous rappelle que l'on peut vivre mieux, avec moins.
    Accessible, chaleureux, un ouvrage richement illustré, un concentré de sagesse pour une vie plus heureuse et plus sereine.

  • Saluée par la presse internationale, duNew York TimesauMonde, une passionnante redécouverte de la pensée de Confucius. Un livre phénomène, vendu à plus de dix millions d'exemplaires en Chine.

    Rédigés et réunis après sa mort par ses nombreux disciples sous la forme d'une collection d' « analectes » dont la lecture avait été bannie par Mao, les enseignements de Confucius ont donc été repris et analysés par Yu Dan sous un angle moderne, pour en a extraire des principes simples et bienfaisants et aider ses contemporains à atteindre la sérénité. L'auteur remet en avant des valeurs intemporelles et trop souvent négligées comme le respect, le sens du devoir du citoyen. Elle prône également le mépris de l'argent et des honneurs, la recherche de la compassion envers autrui ? toutes valeurs qui dans le contexte de crise actuelle prennent une pertinence évidente.

  • Presents contemporary Confucius the one who can teach us how to attain spiritual happiness, adjust our daily routines and find our place in modern life. This book argues that his sayings, or Analects - far from being merely interesting quotes from ancient lore, of little use in our hectic, stress-filled world.

  • This self-contained book, written by leading experts, offers a cutting-edge, in-depth overview of the filtering and control of wireless networked systems. It addresses the energy constraint and filter/controller gain variation problems, and presents both the centralized and the distributed solutions. The first two chapters provide an introduction to networked control systems and basic information on system analysis. Chapters (3-6) then discuss the centralized filtering of wireless networked systems, presenting different approaches to deal with energy efficiency and filter/controller gain variation problems. The next part (chapters 7-10) explores the distributed filtering of wireless networked systems, addressing the main problems of energy constraint and filter gain variation. The final part (chapters 11-14) focuses on the distributed control of wireless networked systems.

    /> In view of the rapid deployment and development of wireless networked systems for communication and control applications, the book represents a timely contribution and provides valuable insights, useful methods and effective algorithms for the analysis and design of wireless networked control systems. It is a valuable resource for researchers in the control and communication communities

     

  • This book, written by experts in the field, is based on the latest research on the analysis and synthesis of switched time-delay systems. It covers the stability, filtering, fault detection and control problems, which are studied using the average dwell time approach. It presents both the continuous-time and discrete-time systems and provides useful insights and methods, as well as practical algorithms that can be considered in other complex systems, such as neuron networks and genetic regulatory networks, making it a valuable resource for researchers, scientists and engineers in the field of system sciences and control communities.

  • 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.

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