Table 2.

Haar mother wavelet coefficients for SWT.

	Level 1 (j = 1)	Level 2 (j = 2)	Level 3 (j = 3)
High-pass filter, Gj	g1[0] = −0.7071067812	g2[0] = −0.7071067812	g3[0] = −0.7071067812
	g1[1] = 0.7071067812	g2[1] = 0	g3[1] = 0
		g2[2] = 0.7071067812	g3[2] = 0
		g2[3] = 0	g3[3] = 0
			g3[4] = 0.7071067812
			g3[5] = 0
			g3[6] = 0
			g3[7] = 0
Low-pass filter, Hj	h1[0] = 0.7071067812	h2[0] = 0.7071067812	h3[0] = 0.7071067812
	h1[1] = 0.7071067812	h2[1] = 0	h3[1] = 0
		h2[2] = 0.7071067812	h3[2] = 0
		h2[3] = 0	h3[3] = 0
			h3[4] = 0.7071067812
			h3[5] = 0
			h3[6] = 0
			h3[7] = 0

The main drawback of SWT algorithm is its computational expensiveness. We will address this issue quantitatively later in this paper. More information about wavelet analysis can be found in Meyer and Ryan (1993), Coifman and Donoho (1995), Pesquet et al. (1996), Niervergelt (2001), and Jensen and La Cour-Harbo (2001).