Further, it is observed that IADWPT performs well at feature selection without losing discriminative information, even when the dimensionality of feature space is reduced to as far as 1/40th of original feature space and steadily maintains the accuracy as dimensionality is reduced, which makes it a suitable technique for aggressive dimensionality reduction.
we name it as improvised adaptive discriminant wavelet packet transform (IADWPT).