Unaliasing of Recorded Signals Based on Blind Source Separation

In this paper, we propose a method of restoring the original signal from aliased signals. Generally, it is challenging to resolve aliasing in post-processing for already aliased signals. However, the proposed method solves aliasing only with a post-processing approach by increasing the number of channels. First, we model the aliased signal as a mixture of the original and aliased components. Next, these components are separated by applying blind source separation to the mixture. Finally, the separated components are converted in the frequency domain to recover the original signal accurately. We confirm the effectiveness of our method through experimental evaluations.