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. Author manuscript; available in PMC: 2009 Nov 3.
Published in final edited form as: Neuroimage. 2006 Jul 24;33(1):103–114. doi: 10.1016/j.neuroimage.2006.05.040

Table 1.

Frequency responses of the differencing schemes

Type of differencing Fourier domain expression
D1 No subtraction
Y1(ejω)=Y(jωe)
D2 Pairwise subtraction Y2(ejω) = 0.5·[ Y(ejω/2)(1-ejω/2) + Y(ej(ω+ 2π)/2)(1-ej(ω+2π)/2)]
D3 Running subtraction Y3(ejω) = Y(ej(ω+π))(1-ej(ω+π))
D4 Surround subtraction Y4(ejω) = Y(ej (ω+π))(− 1 + 2ej(ω+π)e 2j(ω+π))
D5 Sinc subtraction Y5(ejω) = Y2(ej )S(ejω )*
*

Y2z = is the Fourier transform of y2z[n], which is in turn the same as y2[n] (the time domain output of the pairwise subtraction case) but zero filled between samples. In an ideal case (an Infinite Impulse Response filter), S would be a perfect rect function but, depending on the implementation, it is the Fourier transform of a truncated sinc function instead, and is dependent on the choice of truncated sinc.