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Titlebook: Cognitive Networked Sensing and Big Data; Robert Qiu,Michael Wicks Book 2014 The Editor(s) (if applicable) and The Author(s), under exclus

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發(fā)表于 2025-3-21 16:21:05 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Cognitive Networked Sensing and Big Data
編輯Robert Qiu,Michael Wicks
視頻videohttp://file.papertrans.cn/230/229067/229067.mp4
概述Discusses insights and experiences from large network testbeds.Examines wireless communications, mobile computing, and networks.Covers cognitive radio networks for UAVs.Includes supplementary material
圖書封面Titlebook: Cognitive Networked Sensing and Big Data;  Robert Qiu,Michael Wicks Book 2014 The Editor(s) (if applicable) and The Author(s), under exclus
描述Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The author will discuss the integration of software defined radio implementation and testbed development. The book will also bridge new research results and contextual reviews. Also the author provides an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.
出版日期Book 2014
關(guān)鍵詞Clock Distribution; Cognitive Radio Network; Cognitive Sensing; Distributed Computing; Distributed Intru
版次1
doihttps://doi.org/10.1007/978-1-4614-4544-9
isbn_softcover978-1-4899-9726-5
isbn_ebook978-1-4614-4544-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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沙發(fā)
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板凳
發(fā)表于 2025-3-22 01:46:46 | 只看該作者
https://doi.org/10.1007/978-3-642-69762-3ssed sensing exploits the sparsity structure in a vector, while low-rank matrix recovery—Chap. 8—exploits the low-rank structure of a matrix: sparse in the vector composed of singular values. The theory ultimately traces back to concentration of measure due to high dimensions.
地板
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Matrix Completion and Low-Rank Matrix Recoveryssed sensing exploits the sparsity structure in a vector, while low-rank matrix recovery—Chap. 8—exploits the low-rank structure of a matrix: sparse in the vector composed of singular values. The theory ultimately traces back to concentration of measure due to high dimensions.
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發(fā)表于 2025-3-22 17:43:15 | 只看該作者
Two Principles for Self-OrganizationThe chapter contains standard results for asymptotic, global theory of random matrices. The goal is for readers to compare these results with results of non-asymptotic, local theory of random matrices (Chap. 5. A recent treatment of this subject is given by Qiu et al. [5].
8#
發(fā)表于 2025-3-22 22:27:01 | 只看該作者
https://doi.org/10.1007/978-3-642-69762-3This chapter is the core of Part II: Applications..Detection in high dimensions is fundamentally different from the traditional detection theory. Concentration of measure plays a central role due to the high dimensions. We exploit the bless of dimensions.
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Free Agents in a Cellular SpaceThe main goal of this chapter is to put together all pieces treated in previous chapters. We treat the subject from a system engineering point of view. This chapter motivates the whole book. We only have space to see the problems from ten-thousand feet high.
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