Approximal operator with application to audio inpainting
TL
TL;DR
Surprisingly, in most cases, such an approximation is shown to provide even better numerical results in audio inpainting compared to its proper counterpart, while being computationally much more effective.
References37 items
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Sparse and Cosparse Audio Dequantization Using Convex Optimization
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Parseval Proximal Neural Networks
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A New Generalized Projection and Its Application to Acceleration of Audio Declipping
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Psychoacoustically Motivated Audio Declipping Based on Weighted l1 Minimization
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