[1]
R. G. Stockwell, L. Mansinha, and R. P. lowe, Localization of the complex spectrum: The S-transform, IEEE Trans. on SP, vol. 44, no. 4, p.998–1001, April (1996).
DOI: 10.1109/78.492555
Google Scholar
[2]
R. G. Stockwell, A basis for efficient representation of the S-transform, Science Direct. Digital Signal Processing, vol. 17, pp.371-393, (2007).
DOI: 10.1016/j.dsp.2006.04.006
Google Scholar
[3]
Said Assous, Anne Humeau, Maylis Tartas, Pierre Abraham, and Jean-Pierre L'Huilier, S-Transform Applied to Laser Doppler Flowmetry Reactive Hyperemia Signals, IEEE Trans. on BME, vol. 53, no. 6, pp.1032-1035, June (2006).
DOI: 10.1109/tbme.2005.863843
Google Scholar
[4]
P.K. Dash, M. V. Chilukuri, Hybrid S-transform and Kalman Filtering Approach for Detection and Measurement of Short Duration Disturbances in Power Networks, " IEEE Trans. on IM, vol. 53, April (2004).
DOI: 10.1109/tim.2003.820486
Google Scholar
[5]
S. Mishra, C.N. Bhende, and B. K, Detection and Classification of Power Quality Disturbances Using S–Transform and Probabilistic Neural Network, IEEE Trans. on PD, vol. 23, no. 1, pp.280-287, January (2008).
DOI: 10.1109/tpwrd.2007.911125
Google Scholar
[6]
P. K. Dash, B. K. Panigrahi, and G. Panda, Power Quality Analysis Using S–Transform, IEEE Trans. on P D, vol. 18, no. 2, pp.406-411, April (2003).
DOI: 10.1109/tpwrd.2003.809616
Google Scholar
[7]
Fengzhan Zhao, Rengang Yang, power-Quality Disturbance Recognition Using S-transform, IEEE Trans. on P D, vol. 22, no. 2, pp.944-951, April (2003).
DOI: 10.1109/pes.2006.1709411
Google Scholar
[8]
I.W.C. Lee, P.K. Dash, S-Transform Based Intelligent System for Classification of Power Quality Disturbance Signals, IEEE Trans. on IE, vol. 50, no. 4, pp.800-805, Augustl (2003).
DOI: 10.1109/tie.2003.814991
Google Scholar