79,969 research outputs found
Sparse and Cosparse Audio Dequantization Using Convex Optimization
The paper shows the potential of sparsity-based methods in restoring
quantized signals. Following up on the study of Brauer et al. (IEEE ICASSP
2016), we significantly extend the range of the evaluation scenarios: we
introduce the analysis (cosparse) model, we use more effective algorithms, we
experiment with another time-frequency transform. The paper shows that the
analysis-based model performs comparably to the synthesis-model, but the Gabor
transform produces better results than the originally used cosine transform.
Last but not least, we provide codes and data in a reproducible way
Bakhtin and theatre?
Review of Dick McCaw. Bakhtin and Theatre: Dialogues with Stanislavsky, Meyerhold and Grotowski. London and New York: Routledge, 2016. 247pp
A Proper version of Synthesis-based Sparse Audio Declipper
Methods based on sparse representation have found great use in the recovery
of audio signals degraded by clipping. The state of the art in declipping has
been achieved by the SPADE algorithm by Kiti\'c et. al. (LVA/ICA2015). Our
recent study (LVA/ICA2018) has shown that although the original S-SPADE can be
improved such that it converges significantly faster than the A-SPADE, the
restoration quality is significantly worse. In the present paper, we propose a
new version of S-SPADE. Experiments show that the novel version of S-SPADE
outperforms its old version in terms of restoration quality, and that it is
comparable with the A-SPADE while being even slightly faster than A-SPADE
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