Explicit onset modeling of sinusoids using time reassignment

Aaron S. Master, Kyogu Lee

Abstract: We introduce a system that explicitly models the onsets of sinusoidal signal components. The system uses time reassignment data to detect probable onsets. When an onset is detected, the reassigned data is used to estimate the precise location in time of the original onset, allowing synthesis of the corresponding output. This is advantageous over conventional time reassignment which implicitly smears onsets. We demonstrate the efficacy of our system on synthetic and real test signals with sudden onsets.