Showing 41 - 60 results of 193 for search '"compressed sensing"', query time: 0.06s Refine Results
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    Data Gathering in Wireless Sensor Networks Based on Reshuffling Cluster Compressed Sensing by Lu Zhu, Baishan Ci, Yuanyuan Liu, Zhizhang (David) Chen

    Published 2015-11-01
    “…The existing compressed sensing (CS) based data gathering (CSDG) methods in wireless sensor networks (WSNs) usually assume that the sensed data are sparse or compressible. …”
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    Application of compressive sensing techniques for advanced image processing and digital image transmission by Stefanović Nenad, Sazdić-Jotić Boban, Orlić Vladimir, Mladenović Vladimir, Ćirković Stefan

    Published 2024-01-01
    “…The field of compressive sensing (CS) has emerged as a transformative approach in the acquisition and processing of high-dimensional data. …”
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    Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network by Weiwei Li, Ting Jiang, Ning Wang

    Published 2015-10-01
    “…One of the features of WBAN is that its power consumption and sampling rate should be restricted to a minimum. Compressed sensing (CS) is an emerging signal acquisition/compression methodology which offers a prominent alternative to traditional signal acquisition. …”
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    On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing by Yi Gao, Jigen Peng, Shigang Yue, Yuan Zhao

    Published 2015-01-01
    “…The paper discusses the relationship between the null space property (NSP) and the lq-minimization in compressed sensing. Several versions of the null space property, that is, the lq stable NSP, the lq robust NSP, and the lq,p robust NSP for 0<p≤q<1 based on the standard lq NSP, are proposed, and their equivalent forms are derived. …”
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    Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis by Junxin Chen, Jiazhu Xing, Leo Yu Zhang, Lin Qi

    Published 2019-07-01
    “…In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. …”
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