Citation: | Xia ZOU, Penglong WU, Meng SUN, Xingyu ZHANG. An Adaptive Consistent Iterative Hard Thresholding Alogorith for Audio Declipping[J]. Journal of Electronics & Information Technology, 2019, 41(4): 925-931. doi: 10.11999/JEIT180543 |
Audio clipping distortion can be solved by the Consistent Iterative Hard Thresholding (CIHT) algorithm, but the performance of restoration will decrease when the clipping degree is large, so, an algorithm based on adaptive threshold is proposed. The method estimates automatically the clipping degree, and the factor of the clipping degree is adjusted in the algorithm according to the degree of clipping. Compared with the CIHT algorithm and the Consistent Dictionary Learning (CDL) algorithm, the performance of restoration by the proposed algorithm is much better than the other two, especially in the case of severe clipping distortion. Compared with CDL, the computational complexity of the proposed algorithm is low like CIHT, compared with CDL, it has faster processing speed, which is beneficial to the practicality of the algorithm.
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