A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

Dynamic range limitations in signal processing often lead to clipping, or saturation, signals. The task of audio declipping is estimating the original signal, given its clipped measurements, and has attracted much interest recent years. Audio algorithms make assumptions about underlying such as sparsity low-rankness, measurement system. In this paper, we provide an extensive review proposed literature. For each algorithm, present that are made modeling domain, optimization algorithm. Furthermore, numerical evaluation popular algorithms, on real data. We evaluate algorithm terms Signal-to-Distortion Ratio, also using perceptual metrics sound quality. article accompanied by a repository containing evaluated methods.