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  • Data-Driven Wireless Networks: A Compressive Spectrum Approach (SpringerBriefs

    • Item No : 376288234020
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    • * Item Description

    • This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles.
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