Signal decomposition via mixed-norm regularization

Abstract

In this work, we propose an analysis prior based method for decomposition of tonal and transient parts of audio signals. The proposed method uses the diversity of distributions of audio signals in time-frequency representations. Problem is formulated as an inverse problem which is regularized by analysis priors. The approach in this work is an alternative to synthesis prior based methods which are proposed before.