  Sasaki et al. (2018) presented an efficient audio declipping algorithm, based
on the properties of Hankel-structure matrices constructed from time-domain
signal blocks. We adapt their approach to solving the audio inpainting problem,
where samples are missing in the signal. We analyze the algorithm and provide
modifications, some of them leading to an improved performance. Overall, it
turns out that the new algorithms perform reasonably well for speech signals
but they are not competitive in the case of music signals.
