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Volumn , Issue , 2017, Pages

Lossy compression on IoT big data by exploiting spatiotemporal correlation

Author keywords

IoT; lossy compression; signal processing; Smart farm; spatiotemporal

Indexed keywords

DATA HANDLING; DISCRETE COSINE TRANSFORMS; ENCODING (SYMBOLS); ERRORS; HADAMARD TRANSFORMS; INTERNET OF THINGS; MATHEMATICAL TRANSFORMATIONS; SIGNAL ENCODING; SIGNAL PROCESSING;

EID: 85041183338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPEC.2017.8091030     Document Type: Conference Paper
Times cited : (33)

References (17)
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    • Chou, J.J.1    Piegl, L.A.2
  • 11
    • 84890423310 scopus 로고    scopus 로고
    • Compression in wireless sensor networks: A survey and comparative evaluation
    • M. A. Razzaque, C. J. Bleakley, S. Dobson, "Compression in wireless sensor networks: A survey and comparative evaluation, " ACM Transactions on Sensor Networks, vol. 10, no. 1, p. 5, 2013.
    • (2013) ACM Transactions On Sensor Networks , vol.10 , Issue.1 , pp. 5
    • Razzaque, M.A.1    Bleakley, C.J.2    Dobson, S.3
  • 12
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    • Unified matrix treatment of the fast walshhadamard transform
    • Nov.
    • B. J. Fino and V. R. Algazi, "Unified matrix treatment of the fast walshhadamard transform, " IEEE Trans. Comput., vol. 25, no. 11, pp. 1142-1146, Nov. 1976.
    • (1976) IEEE Trans. Comput. , vol.25 , Issue.11 , pp. 1142-1146
    • Fino, B.J.1    Algazi, V.R.2
  • 14
    • 84890962881 scopus 로고    scopus 로고
    • Data compression techniques inwireless sensor networks
    • Y.-C. Wang, "Data Compression Techniques inWireless Sensor Networks, " Pervasive Computing, 2012.
    • (2012) Pervasive Computing
    • Wang, Y.-C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.