Performance analysis of a new robust S transform

This paper presents performance analysis of a new robust S transform to process signals corrupted by the impulsive noise. Performances of the standard and the robust S transforms are compared in the impulsive noise and the additive white Gaussian noise respectively, showing that the proposed robust S transform can achieve better performance for signals in impulsive noises. Moreover, compared with the standard counterpart, the robust S transform can provide improved performance for monocomponent signals as well as for multicomponent signals in impulsive noises, without greatly increasing the computational complexity.

[1]  Igor Djurovic,et al.  Robust S-transform based on L-DFT , 2010 .

[2]  Richard Frayne,et al.  A fast discrete S-transform for biomedical signal processing , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  Jin Jiang,et al.  Selective Regional Correlation for Pattern Recognition , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[4]  Jin Jiang,et al.  Fault diagnosis in machine tools using selective regional correlation , 2006 .

[5]  G. Panda,et al.  Power Quality Analysis Using S-Transform , 2002, IEEE Power Engineering Review.

[6]  C. Robert Pinnegar,et al.  The S-transform with windows of arbitrary and varying shape , 2003 .

[7]  C. L. Nikias,et al.  Signal processing with alpha-stable distributions and applications , 1995 .

[8]  Lalu Mansinha,et al.  Localization of the complex spectrum: the S transform , 1996, IEEE Trans. Signal Process..

[9]  LJubisa Stankovic,et al.  Median filter based realizations of the robust time-frequency distributions , 2001, Signal Process..

[10]  Jin Jiang,et al.  Instantaneous Frequency Estimation Using the ${\rm S}$ -Transform , 2008, IEEE Signal Processing Letters.