Open Access
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
Article Number 02007
Number of page(s) 7
Section Electric and Electronic Engineering
Published online 09 July 2015
  1. Sun, P.X., Guo, Q., Wang, Q., Shi, W., Wang, Y. & Wang, X.W. 2014. The power quality data compression algorithm of two-dimensional discrete wavelet transformation, Computer Application, 6(s1): 234–237. [Google Scholar]
  2. Tian, X. 2013. A Study on the Sampling Method of Multi-scale Power Quality Signal Compression Based on Wavelet Transformation, Changsha: Central South Uni-versity, 5: 5–8. [Google Scholar]
  3. Li, L. 2010. A Study on the Streaming Data Compression Algorithm Based on Wavelet Transformation, Changsha: Hunan University, 3: 6–9. [Google Scholar]
  4. Chen, H.F., Qiao, L. & Liu, S.L. 2013. Disturbance recognition of computer quality based on wavelet transformation and SVM, Electrical Technology, (2): 12–17. [Google Scholar]
  5. S. Cui, Y. Wang & J. E. Fowler, 2003. Multi-hypothesis motion compensation in the redundant wavelet domain. Int. Conf. on Image Processing, Barcelona, Spain, 2: 52–55. [Google Scholar]
  6. Wang, X.W., Wang, L. & Miao, G.J., et al. 2012. The sampling and reconstruction method of transient-state and short-term of power quality disturbance signal compression, Power System Technology, 36(3): 190–195. [Google Scholar]
  7. QccPack-Quaution. 2003. Compression and Coding Library, pp: 121–124. [Google Scholar]
  8. Yang, X.F. 2010. A Study on the Network-based Power Quality Monitoring System Communication, Harbin: Harbin Institute of Technology. [Google Scholar]
  9. Zhang, D.F., et al. 2012. MATLAB Wavelet Analysis (2nd Edition), Beijing: China Machine Press. [Google Scholar]

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