Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Statistique mathematique --- Analyse multivariee --- Cluster analysis

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Intelligent information Retrieval comprehensively surveys scientific information retrieval, which is characterized by growing convergence of information expressed in varying complementary forms of data - textual, numerical, image, and graphics; by the fundamental transformation which the scientific library is currently being subjected to; and by computer networking which as become an essential element of the research fabric. Intelligent Information Retrieval addresses enabling technologies, so-called `wide area network resource discovery tools', and the state of the art in astronomy and other sciences. This work is essential reading for astronomers, scientists in related disciplines, and all those involved in information storage and retrieval.

Astronomy -- Databases. --- Expert systems (Computer science). --- Information storage and retrieval systems -- Astronomy. --- Information storage and retrieval systems -- Space sciences. --- Space sciences -- Databases. --- Astronomy & Astrophysics --- Physical Sciences & Mathematics --- Astronomical Observatories & Instruments --- Astronomy --- Space sciences --- Information storage and retrieval systems --- Expert systems (Computer science) --- Astronomy. --- Space sciences. --- Expertsystemen (Informatica) --- Systèmes experts (Informatique) --- Statistics. --- Artificial intelligence. --- Computer science. --- Astronomy, Observations and Techniques. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Artificial Intelligence (incl. Robotics). --- Computer Science, general. --- Databases --- Artificial Intelligence. --- Observations, Astronomical. --- Astronomy—Observations. --- Statistics .

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

With information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis using a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field and draw upon decades of experience. They have been playing leading roles in international projects such as the Virtual Observatory and the Grid. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools. This second edition of Starck and Murtagh's highly appreciated reference again deals with topics that are at or beyond the state of the art. It presents material which is more algorithmically oriented than most alternatives and broaches new areas like ridgelet and curvelet transforms. Throughout the book various additions and updates have been made.

Data processing. --- Imaging systems in astronomy -- Data processing. --- Imaging systems in astronomy. --- Imaging systems in astronomy --- Astronomy - General --- Astronomical Observatories & Instruments --- Astronomy & Astrophysics --- Physical Sciences & Mathematics --- Data processing --- Astronomical instruments. --- Astronomical imaging systems --- Astronomy --- Instruments, Astronomical --- Instruments --- Physics. --- Database management. --- Information storage and retrieval. --- Observations, Astronomical. --- Statistics. --- Astronomy, Observations and Techniques. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical Theory and Methods. --- Database Management. --- Information Storage and Retrieval. --- Observations. --- Astronomical instruments --- Optical instruments --- Physical instruments --- Scientific apparatus and instruments --- Space optics --- Mathematical statistics. --- Information storage and retrieva. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Astronomy—Observations. --- Statistics . --- Astronomical observations --- Observations, Astronomical --- Imaging systems in astronomy - Data processing

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research are available for download at the associated web site.

Transformations (Mathematics) --- Signal processing. --- Image processing. --- Sparse matrices. --- Wavelets (Mathematics) --- Wavelet analysis --- Harmonic analysis --- Spare matrix techniques --- Matrices --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Algorithms --- Differential invariants --- Geometry, Differential --- Compressed sensing (Telecommunication) --- Compressive sensing (Telecommunication) --- Sensing, Compressed (Telecommunication) --- Sparse sampling (Telecommunication) --- Signal processing

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB® and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications.

Transformations (Mathematics) --- Signal processing. --- Image processing. --- Sparse matrices. --- Wavelets (Mathematics) --- Compressed sensing (Telecommunication)