Weigang LI, Jingcheng SHEN, Lu XIE, Yuntao ZHAO. Semi Supervised Learning of Metallographic Data Based on Self-organizing Incremental and Graph Convolution Neural Network[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3301-3308. doi: 10.11999/JEIT201029
Citation:
Zhang AnQing, Qiu TianShuang, Zhang XinHua. A New Underwater Acoustic Signals Processing Approach to a-Stable Distribution[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1201-1204.
Weigang LI, Jingcheng SHEN, Lu XIE, Yuntao ZHAO. Semi Supervised Learning of Metallographic Data Based on Self-organizing Incremental and Graph Convolution Neural Network[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3301-3308. doi: 10.11999/JEIT201029
Citation:
Zhang AnQing, Qiu TianShuang, Zhang XinHua. A New Underwater Acoustic Signals Processing Approach to a-Stable Distribution[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1201-1204.
According to the theory of the fractional lower order statistical signal processing and the characteristics of ship radiated noises, this paper proposes a new noise model of underwater acoustic signals. The reasons of performance degenerate are analyzed for traditional LMS approach. A new replace approach is advanced to adaptive filtering based on fractional lower order moments for underwater acoustic signals. It is analyzed how to affect the performance of LMP algorithm for choosing p value. Theoretic analysis and computer simulations indicate that the new method is not only suitable for Gaussian noise conditions, but also very robust under the lower order -stable distribution noise conditions.
李启虎.水声学研究进展[J].声学学报,2001,26(4):295-301.[2]Tsihrintzis G A, Nikias C L. Fast estimation of the parameters of alpha-stable impulsive interference [J].IEEE Trans. on Signal Processing.1996, 44(6):1492-[3]Nikias C L, Shao M. Signal Processing with Alpha-Stable Distributions and Applications [M]. New York: John Wiley and Sons, Inc., 1995:3 - 10.[4]Georgiou P G, Tsakalides P. Alpha-stable modeling of noise and robust time-delay estimation in the presence of impulsive noise [J].IEEE Trans. on Multimedia.1999, 1(3):291-[5]张贤达.现代信号处理[M].北京:清华大学出版社,2002:190-195.[6]Koutrouvelis I A. Regression type estimation of the parameters of stable laws [J].JASA, 1980, 75(4): 918- 928.
Weigang LI, Jingcheng SHEN, Lu XIE, Yuntao ZHAO. Semi Supervised Learning of Metallographic Data Based on Self-organizing Incremental and Graph Convolution Neural Network[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3301-3308. doi: 10.11999/JEIT201029
Weigang LI, Jingcheng SHEN, Lu XIE, Yuntao ZHAO. Semi Supervised Learning of Metallographic Data Based on Self-organizing Incremental and Graph Convolution Neural Network[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3301-3308. doi: 10.11999/JEIT201029
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