A constrained matching pursuit approach to audio declipping
A constrained matching pursuit approach to audio declipping
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DOI：
10.1109/icassp.2011.5946407
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发表时间：
2011-05
期刊：
影响因子：
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通讯作者：
A. Adler;Valentin Emiya;M. Jafari;Michael Elad;R. Gribonval;Mark D. Plumbley
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文献类型：
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作者：
A. Adler;Valentin Emiya;M. Jafari;Michael Elad;R. Gribonval;Mark D. Plumbley
我们提出了一种新的稀疏表示为基础的方法来恢复削波音频信号。在所提出的方法中，削波信号被分解成重叠的帧和declipping问题被制定为一个逆问题，每个音频帧。这个问题进一步解决了约束匹配追踪算法，利用符号模式的裁剪样本和它们的最大绝对值。音乐和语音信号的集合的性能评估表现出上级的结果相比，现有的算法，在很宽的范围内的削波水平。
We present a novel sparse representation based approach for the restoration of clipped audio signals. In the proposed approach, the clipped signal is decomposed into overlapping frames and the declipping problem is formulated as an inverse problem, per audio frame. This problem is further solved by a constrained matching pursuit algorithm, that exploits the sign pattern of the clipped samples and their maximal absolute value. Performance evaluation with a collection of music and speech signals demonstrate superior results compared to existing algorithms, over a wide range of clipping levels.