A novel compression algorithm for IMFs of Hilbert-Huang transform

Abstract

The intrinsic mode function (IMF) derived from empirical mode decomposition (EMD) of the Hilbert-Huang transform process is useful for time-variant signal analysis. In this paper, a novel algorithm for IMF compression is proposed. Instead of recording all of the extreme points, we just encode a part of the extreme points while the locations and amplitudes of the other extreme points are predicted. Moreover, the residue of interpolation is encoded by the prediction technique and the adaptive arithmetic coding scheme. Simulations show that the proposed algorithm is efficient for encoding the IMF and very effective for compressing vocal signals and biomedical signals.