메뉴 건너뛰기




Volumn 7, Issue 12, 2011, Pages 4185-4192

Research on sparse basement of compressed sensing in large-scale wireless sensor networks

Author keywords

Compressed sensing; Fast Hartley transform; Over complete dictionary; Sparse basement; Wireless sensor networks

Indexed keywords

COMPRESSED SENSING; FAST HARTLEY TRANSFORMS; OVER-COMPLETE DICTIONARY; SPARSE BASEMENT; WIRELESS SENSOR;

EID: 83055167068     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (11)
  • 1
    • 2942686425 scopus 로고    scopus 로고
    • Sensor networks: Evolution, opportunities, and challenges
    • Chong, C. Y., S. P. Kumar. Sensor networks: Evolution, opportunities, and challenges. Proceedings of the IEEE, 2003, 91(8): 1247-1256.
    • (2003) Proceedings of the IEEE , vol.91 , Issue.8 , pp. 1247-1256
    • Chong, C.Y.1    Kumar, S.P.2
  • 4
    • 79551626847 scopus 로고    scopus 로고
    • Research on iterative thresholding matching pursuit based on adaptive sparsity
    • Sun Guiling, Zhang ying, Lv lequn, Li Weixiang. Research on Iterative Thresholding Matching Pursuit Based on Adaptive Sparsity. Journal of Computational Information Systems, 2011(7): 34-41.
    • (2011) Journal of Computational Information Systems , Issue.7 , pp. 34-41
    • Sun, G.1    Zhang, Y.2    Lv, L.3    Li, W.4
  • 5
    • 85032766716 scopus 로고    scopus 로고
    • Compressed sensing for networked data
    • Haupt, J., W. U. Bajwa, et al. Compressed sensing for networked data. IEEE Signal Processing Magazine, 2008, 25(2): 92-101.
    • (2008) IEEE Signal Processing Magazine , vol.25 , Issue.2 , pp. 92-101
    • Haupt, J.1    Bajwa, W.U.2
  • 7
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • Donoho D L, Elad M. Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise. IEEE Transactions on Information Theory, 2006, 52(1): 6-18.
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.1 , pp. 6-18
    • Donoho, D.L.1    Elad, M.2
  • 8
    • 77956583201 scopus 로고    scopus 로고
    • Why gabor frames? Two fundamental measures of coherence and their role in model selection
    • Bajwa W U, R Calderbank. Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection. Journal of Communications and Networks, 2010, 12(4): 289-307.
    • (2010) Journal of Communications and Networks , vol.12 , Issue.4 , pp. 289-307
    • Bajwa, W.U.1    Calderbank, R.2
  • 9
    • 31144474340 scopus 로고    scopus 로고
    • Sparse overcomplete gabor wavelet representation based on local competitions
    • Fischer S, G Cristobal. Sparse Overcomplete Gabor Wavelet Representation Based on Local Competitions. IEEE Transactions on Image Processing, 2006, 15(2): 265-272.
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.2 , pp. 265-272
    • Fischer, S.1    Cristobal, G.2
  • 10
    • 85008571588 scopus 로고    scopus 로고
    • Sparse music representation with source-specific dictionaries and its application to signal separation
    • Namgook, C., C. C. J. Kuo. Sparse Music Representation With Source-specific Dictionaries and Its Application to Signal Separation. IEEE Transactions on Audio, Speech and Language Processing, 2011: 326-337.
    • (2011) IEEE Transactions on Audio, Speech and Language Processing , pp. 326-337
    • Namgook, C.C.C.1    Kuo, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.