| 期刊全稱 | Astronomical Image and Data Analysis | | 影響因子2023 | Jean-Luc Starck,Fionn Murtagh | | 視頻video | http://file.papertrans.cn/164/163594/163594.mp4 | | 發(fā)行地址 | Algorithmically oriented handbook on basic tools in Astronomical Data Analysis aimed at observing astronomers.Unique especially in its treatment of wavelet analysis and can also be used for classroom | | 學(xué)科分類 | Astronomy and Astrophysics Library | | 圖書封面 |  | | 影響因子 | When we consider the ever increasing amount of astronomical data available to us, we can well say that the needs of modern astronomy are growing by the day. Ever better observing facilities are in operation. The fusion of infor- mation leading to the coordination of observations is of central importance. The methods described in this book can provide effective and efficient ripostes to many of these issues. Much progress has been made in recent years on the methodology front, in line with the rapid pace of evolution of our technological infrastructures. The central themes of this book are information and scale. The approach is astronomy-driven, starting with real problems and issues to be addressed. We then proceed to comprehensive theory, and implementations of demonstrated efficacy. The field is developing rapidly. There is little doubt that further important papers, and books, will follow in the future. Colleagues we would like to acknowledge include: Alexandre Aussem, Albert Bijaoui, Franc;ois Bonnarel, Jonathan G. Campbell, Ghada Jammal, Rene Gastaud, Pierre-Franc;ois Honore, Bruno Lopez, Mireille Louys, Clive Page, Eric Pantin, Philippe Querre, Victor Racine, Jerome Rodriguez | | Pindex | Book 20021st edition |
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