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    Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis by Xun Chen, Chen He, Hu Peng

    Published 2014-01-01
    “…It is a promising tool for real-world biomedical signal processing applications.…”
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    A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction by Lourdes Martínez-Villaseñor, Hiram Ponce

    Published 2019-06-01
    “…When these approaches have to be developed, different efforts from signal processing and artificial intelligence are considered. …”
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    Fog computing based radio access networks:architecture,principles and challenges by Bonan YIN, Yuan AI, Mugen PENG

    Published 2016-06-01
    “…To reduce the burden of fronthaul link,avoid large-scale wireless signal processing in centralized baseband unit(BBU)pool,and take full advantage of processing and storage capabilities in edge devices,a fog computing based radio access network(F-RAN)was presented as an evolution form of heterogeneous cloud radio access networks.The core idea of F-RAN was to take full advantage of processing and storage capabilities in edge devices which could achieve the local distributed content delivery,the local distributed collaboration radio signal processing and the local distributed cooperative radio resource management functions.System architectures of F-RAN,promising key techniques,and researching open issues of F-RAN were discussed in detail.…”
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    Steam Computing Analysis and Application on Operator Real-time Signal Big Data Processing by Bin Dong, Di Yang, Zheng Wang, Wenhong Zhou

    Published 2015-10-01
    “…Big data platform based on the Hadoop structures using offline batch processing mode,unable to meet the service requirements for data timeliness.In order to solve the real-time signal processing requirements in operator OIDD(open information of dynamic data)big data platform,the big-data system components of stream computing were discussed,real-time data collecting,distribution and processing components which formed the end-to-end real-time signal processing big data technology solutions were recommended,and the solutions of the OIDD big data platform which integrated batch computing and stream computing were proposed.It will improve the timeliness of the network signaling data and provide more space for business innovation and bring more benefits.…”
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