Low complexity sensing for big spatio-temporal data

Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Volumn , Issue , 2014, Pages 323-328

  Lee, Dongeun ^a   Choi, Jaesik ^a  

^a Ulsan National Institute of Science and Technology   (South Korea)

Author keywords

Compressive sensing; Energy efficient sensing; Random sampling; Sparse signal recovery; Spatio temporal data

Indexed keywords

COMPLEX NETWORKS; ENERGY EFFICIENCY; SENSOR NETWORKS; SIGNAL RECONSTRUCTION;

COMPRESSIVE SENSING; COMPUTATIONAL OVERHEADS; ENERGY-EFFICIENT SENSING; LARGE SCALE SENSOR NETWORK; LOWER COMPLEXITY; RANDOM SAMPLING; SENSING TECHNIQUES; SPARSE SIGNAL RECOVERIES; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL DATA STREAMS;

COMPRESSED SENSING;

EID: 84921794779     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004248     Document Type: Conference Paper

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