Acceleration of audio inpainting by support restriction
Pavel Rajmic, Hana Bartlova, Zdeněk Průša, Nicki Holighaus · 2015
We present a simple algorithm which accelerates the sparsity-based audio inpainting. The algorithm optimally restricts the signal support around the missing data region. This way, increased computational efficiency is achieved by avoiding inclusion of unnecessary values in the optimization process. For testing purposes, we use the discrete Gabor transform as the sparsity promoting representation, but the method can be easily translated to other systems.