Commenced in January 2007
Paper Count: 30184
BPNN Based Processing for End Effects of HHT
Abstract:This paper describes a method of signal process applied on an end effects of Hilbert-Huang transform (HHT) to provide an improvement in the reality of spectrum. The method is based on back-propagation network (BPN). To improve the effect, the end extension of the original signal is obtained by back-propagation network. A full waveform including origin and its extension is decomposed by using empirical mode decomposition (EMD) to obtain intrinsic mode functions (IMFs) of the waveform. Then, the Hilbert transform (HT) is applied to the IMFs to obtain the Hilbert spectrum of the waveform. As a result, the method is superiority of the processing of end effect of HHT to obtain the real frequency spectrum of signals.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078166Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1432
 Huang, N., Z. Shen, S. Long, M. Wu, H. Shih, Q. Zheng, N. Yen, C.C. Tung and H. Liu, " The empirical mode decomposition and the Hilbert spectrum for nonlinear, nonstationary time series analysis," 1998 Proc. R. Soc. Lond. Vol. A454, pp. 903-995.
 Y.Deng, W.Wang, C.Qian, Z.Wang, D.Dai, "Boundary-processingtechnique in EMD method and Hilbert transform," 2001 Chinese Science Bulletin Vol. 46, pp. 954-960.
 D.E.Rumelhart, G.E.Hinton, and R.J.Willia, "Learning representations by back-propagation errors," 1986 Nature Vol. 323, pp. 533-536.
 Plaut,D. C., Nowlan,S. J. and Hinton,G. E., "Experiments on Learning by Back Propagation," 1986 Technical Report CMU-CS-86-126.