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Titlebook: Tools of Radio Astronomy - Problems and Solutions; T.L. Wilson,Susanne Hüttemeister Textbook 2018Latest edition Springer International Pub

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書目名稱Tools of Radio Astronomy - Problems and Solutions
編輯T.L. Wilson,Susanne Hüttemeister
視頻videohttp://file.papertrans.cn/927/926001/926001.mp4
概述Long awaited Problems and Solutions book for Tools of Radio Astronomy, 6th ed., a real classic among astronomical textbooks.Valuable resource for course work.Meets the needs of students as well as tea
叢書名稱Astronomy and Astrophysics Library
圖書封面Titlebook: Tools of Radio Astronomy - Problems and Solutions;  T.L. Wilson,Susanne Hüttemeister Textbook 2018Latest edition Springer International Pub
描述Covering topics of radio astronomy, this book contains graduate-level problems with carefully presented solutions. The problems are arranged following the content of the textbook .Tools of Radio Astronomy., 6th ed. by T.L.Wilson, K. Rohlfs, S. Hüttemeister (also available in the this Springer series) on a chapter-by-chapter basis. Some of these problems have been formulated to provide an extension to the material presented in .Tools of Radio Astronomy..
出版日期Textbook 2018Latest edition
關(guān)鍵詞ALMA - Atacama Large Millimeter Array; Astrophysics of Line Radiation; Microwave Receiver Technology; M
版次2
doihttps://doi.org/10.1007/978-3-319-90820-5
isbn_softcover978-3-319-90819-9
isbn_ebook978-3-319-90820-5Series ISSN 0941-7834 Series E-ISSN 2196-9698
issn_series 0941-7834
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Thomas L. Wilson,Susanne Hüttemeistere Description Languages (HDLs) and powerful logic simulators. HDLs permit circuit designers to design circuits at a very abstract level. These are then tested before being committed to hardware. We present Automatic Design of Digital Circuits (ADDC), a system that employs Grammatical Evolution, Syst
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Thomas L. Wilson,Susanne Hüttemeisterential impacts from air pollution, computational intelligence by supervised machine learning, using different artificial neural networks (ANNs) techniques, shows to be a promising tool. To enhance their abilities to predict air quality, ANNs have been combined with data preprocessing. The present wo
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