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Found 6 papers, 4 papers with code
Multiple Hankel matrix rank minimization for audio inpainting
Sasaki et al. (2018) presented an efficient audio declipping algorithm, based on the properties of Hankel-structure matrices constructed from time-domain signal blocks.
Audio Declipping with (Weighted) Analysis Social Sparsity
We develop the analysis (cosparse) variant of the popular audio declipping algorithm of Siedenburg et al. (2014).
Audio declipping performance enhancement via crossfading
Some audio declipping methods produce waveforms that do not fully respect the physical process of clipping, which is why we refer to them as inconsistent.
Audio Dequantization Using (Co)Sparse (Non)Convex Methods
The paper deals with the hitherto neglected topic of audio dequantization.
A survey and an extensive evaluation of popular audio declipping methods
Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, and about the measurement system.
Sparse and Cosparse Audio Dequantization Using Convex Optimization
The paper shows the potential of sparsity-based methods in restoring quantized signals.
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