Consistent Iterative Hard Thresholding for signal declipping

Abstract : Clipping or saturation in audio signals is a very common problem in signal processing, for which, in the severe case, there is still no satisfactory solution. In such case, there is a tremendous loss of information, and traditional methods fail to appropriately recover the signal. We propose a novel approach for this signal restoration problem based on the framework of Iterative Hard Thresholding. This approach, which enforces the consistency of the reconstructed signal with the clipped observations, shows superior performance in comparison to the state-of-the-art declipping algorithms. This is confirmed on synthetic and on actual high-dimensional audio data processing, both on SNR and on subjective user listening evaluations.
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Submitted on : Friday, December 27, 2013 - 12:11:10 PM
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Srđan Kitić, Laurent Jacques, Nilesh Madhu, Michael Peter Hopwood, Ann Spriet, et al.. Consistent Iterative Hard Thresholding for signal declipping. ICASSP - The 38th International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. ⟨hal-00922504⟩

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