  We develop the analysis (cosparse) variant of the popular audio declipping
algorithm of Siedenburg et al. (2014). Furthermore, we extend both the old and
the new variants by the possibility of weighting the time-frequency
coefficients. We examine the audio reconstruction performance of several
combinations of weights and shrinkage operators. The weights are shown to
improve the reconstruction quality in some cases; however, the best scores
achieved by the non-weighted methods are not surpassed with the help of
weights. Yet, the analysis Empirical Wiener (EW) shrinkage was able to reach
the quality of a computationally more expensive competitor, the Persistent
Empirical Wiener (PEW). Moreover, the proposed analysis variant incorporating
PEW slightly outperforms the synthesis counterpart in terms of an auditorily
motivated metric.
