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Solving Time Domain Audio Inverse Problems using Nonnegative Tensor Factorization

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Academic year: 2021

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Fig. 1: The general framework of the proposed algorithm illustrating recovery of a mixture signal and its sources from a subset of the quantized samples of the sources and/or the mixture.
Fig. 2: Illustration of the proposed algorithm to solve the generalized time domain audio inverse problem.
Fig. 3: The average performance of all the audio declipping algorithms as a function of the clipping threshold (lower threshold corresponds to more severe clipping).
Fig. 6: The reconstruction performance measured in terms of SNR m of a 4s long music signal from its random samples.
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