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    Dynamic Spectrum Management (2021)
    Springer Nature
    Details
    Publication Date: 2024-04-11
    Description: This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio, blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless communications systems. This book is intended for a broad range of readers, including students and professionals in this field, as well as radio spectrum policy makers.
    Keywords: Engineering ; Electrical engineering ; Wireless communication systems ; Mobile communication systems ; Computer organization ; Computers ; Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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    Format: image/jpeg
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    E-BOOK
  • 2
    Electronic Resource
    Electronic Resource
    New criteria for blind source separation using second-order cyclic statistics (2000)
    Springer
    Circuits, systems and signal processing 19 (2000), S. 43-58 
    Details
    ISSN: 1531-5878
    Keywords: Blind source separation ; adaptive algorithm ; second-order cyclic statistics ; convergence analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract This paper addresses the problem of blind separation of cyclostationary sources. By using the cyclostationarity property of the source signals, new criteria based on second-order cyclic statistics (SOCS) are established, from which two algorithms for blind source separation are proposed. Compared with the existing higher-order statistics-based approaches, our new approach requires few data samples and does not impose any restrictions on the probability distributions of the source signals. Simulation results are given to demonstrate the effectiveness of this new approach.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01229991
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    Paper (German National Licenses)
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