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Titlebook: Near-Field Antenna Measurements; Calculations and Fac Vadim Serafimovich Kalashnikov,Maxim Yurievich Pon Book 2021 The Editor(s) (if applic

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發(fā)表于 2025-3-21 20:00:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Near-Field Antenna Measurements
副標(biāo)題Calculations and Fac
編輯Vadim Serafimovich Kalashnikov,Maxim Yurievich Pon
視頻videohttp://file.papertrans.cn/663/662306/662306.mp4
概述Presents ready to use formulas for the planar near-field to far-field transform with probe correction, as well as the derivation of these formulas.Contains detailed recommendations for writing fast an
叢書名稱Springer Aerospace Technology
圖書封面Titlebook: Near-Field Antenna Measurements; Calculations and Fac Vadim Serafimovich Kalashnikov,Maxim Yurievich Pon Book 2021 The Editor(s) (if applic
描述This book is useful both for those who want to get initial information on the measurement of the antenna parameters, and for specialists directly involved in the experimental determination of the antenna parameters from the results of measuring the amplitude-phase distribution in the near zone of the antennas. Currently, the near-field method is the most common one for antenna measurements. In most books, an academic approach is given to the issue under consideration and it is difficult to use them for the direct organization of measurements. In many others, specific narrow issues are considered that are accessible to understanding only by highly qualified engineers/readers. The purpose of this book is to get rid of the above disadvantages by offering the reader a more accessible exposition and formulas by which appropriate computer programs can be written with minimal effort. The contents of this book allow interested specialists to be not only users of the near-field measuring facilities, but also help in understanding the principles of their work. This book is intended for engineers and specialists whose activities are related to experimental testing of radio characteristics of
出版日期Book 2021
關(guān)鍵詞Antenna Testing; Spherical near-field antenna; Spherical amplitude-phase measurements; Planar near-fiel
版次1
doihttps://doi.org/10.1007/978-981-33-6436-3
isbn_softcover978-981-33-6438-7
isbn_ebook978-981-33-6436-3Series ISSN 1869-1730 Series E-ISSN 1869-1749
issn_series 1869-1730
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Planar Near-Field Antenna Measurements: Calculation Expressions,ers, the second option is preferred. Recommendations are given on writing efficient and fast program code in MATLAB, which allows one to implement direct matrix multiplication variant of calculation. A review of the errors in measuring the amplitude-phase field distribution during scanning on a flat surface is carried out.
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Book 2021lved in the experimental determination of the antenna parameters from the results of measuring the amplitude-phase distribution in the near zone of the antennas. Currently, the near-field method is the most common one for antenna measurements. In most books, an academic approach is given to the issu
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er, we explore several probabilistic topic models: Probabilistic Latent Semantic Analysis (PLSA), Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) to extract latent factors from web service descriptions. These extracted latent factors are then used to group the services into cluste
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Vadim Serafimovich Kalashnikov,Maxim Yurievich Ponomarev,Oleg Yurievich Platonov,Victor Vasilievich tion decision making process. Thus resource management should be ideally solved in an online manner. To address this, approaches have been presented in the literature to set thresholds that trigger VM migration. One challenge with these approaches is they typically use node metrics (e.g., CPU and me
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Vadim Serafimovich Kalashnikov,Maxim Yurievich Ponomarev,Oleg Yurievich Platonov,Victor Vasilievich tion decision making process. Thus resource management should be ideally solved in an online manner. To address this, approaches have been presented in the literature to set thresholds that trigger VM migration. One challenge with these approaches is they typically use node metrics (e.g., CPU and me
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Vadim Serafimovich Kalashnikov,Maxim Yurievich Ponomarev,Oleg Yurievich Platonov,Victor Vasilievich ent and deployment. However, while offering many advantages, FaaS also poses new challenges. In particular, most commercial FaaS providers still require users to manually configure the memory allocated to the FaaS functions based on their experience and knowledge. This often leads to suboptimal func
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