IMF remixing for mode demixing in EMD and application for jitter analysis
Robertas Damaševičius, Christian Napoli, Tatjana Sidekerskienė, Marcin Woźniak · 2016
We propose a novel noise cancellation method based on the scale-adaptive remixing and demixing of Intrinsic Mode Functions (IMFs) constructed using Empirical Mode Decomposition (EMD). The method addresses the problem of mode mixing in the EMD by performing mode demixing. An illustrative example using noisy random binary sequence is presented. The proposed approach allows achieving better denoising results than the classic first IMF discarding approach.