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Volumn 36, Issue 10, 2014, Pages 2364-2369

Compressed sensing algorithm based on data fusion tree in wireless sensor networks

Author keywords

Compressive Sensing (CS); Data Fusion Tree (DFT); Sparse Random Projection (SRP); Wireless sensor networks

Indexed keywords

COMPRESSED SENSING; ENERGY UTILIZATION; FORESTRY; MATRIX ALGEBRA; SENSOR DATA FUSION; TREES (MATHEMATICS);

EID: 84908077359     PISSN: 10095896     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1146.2013.01621     Document Type: Article
Times cited : (14)

References (16)
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    • Zheng, H.1    Xiao, S.2    Wang, X.3
  • 10
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    • Distributed compressive sampling for lifetime optimization in dense wireless sensor networks
    • Caione C, Brunelli D, and Benini L. Distributed compressive sampling for lifetime optimization in dense wireless sensor networks[J]. IEEE Transactions on Industrial Informatics, 2012, 8(1): 30-40.
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  • 11
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  • 12
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    • Sparsity and incoherence in compressive sampling
    • Candes E and Romberg J. Sparsity and incoherence in compressive sampling[J]. Inverse Problems, 2007, 23(3): 969-969.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.