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Declipping of Audio Signals Using Perceptual Compressed ...

    https://www.researchgate.net/publication/260711997_Declipping_of_Audio_Signals_Using_Perceptual_Compressed_Sensing#:~:text=Declipping%20is%20formulated%20as%20a%20sparse%20signal%20recovery,algorithm%20is%20proposed%20which%20uses%20%E2%84%931-norm%20type%20reconstruction.
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Declipping of Audio Signals Using Perceptual …

    https://ieeexplore.ieee.org/abstract/document/6600777/
    Declipping is formulated as a sparse signal recovery problem using the CS framework. By additionally exploiting knowledge of human auditory perception, a novel perceptual compressed sensing (PCS) framework is devised. A PCS-based declipping algorithm is proposed which uses ℓ 1-norm type reconstruction. Comparative objective and subjective evaluation experiments …

Declipping of Audio Signals Using Perceptual Compressed ...

    https://dl.acm.org/doi/10.1109/TASL.2013.2281570
    IEEE Transactions on Audio, Speech, and Language Processing. Periodical Home; Latest Issue; Archive; Authors; Affiliations; Home Browse by Title Periodicals IEEE Transactions on Audio, Speech, and Language Processing Vol. 21, No. 12 Declipping of Audio Signals Using Perceptual Compressed Sensing Browse by Title Periodicals IEEE Transactions on Audio, Speech, and

Declipping of Audio Signals Using Perceptual …

    https://www.researchgate.net/publication/260711997_Declipping_of_Audio_Signals_Using_Perceptual_Compressed_Sensing
    Request PDF | Declipping of Audio Signals Using Perceptual Compressed Sensing | The restoration of clipped audio signals, commonly known as declipping, is important to achieve an improved level of ...

Declipping of audio signals using perceptual compressed ...

    https://orbit.dtu.dk/en/publications/declipping-of-audio-signals-using-perceptual-compressed-sensing
    The restoration of clipped audio signals, commonly known as declipping, is important to achieve an improved level of audio quality in many audio applications. In this paper, a novel declipping algorithm is presented, jointly based on the theory of compressed sensing (CS) and on well-established properties of human auditory perception.

Audio declipping performance enhancement via …

    https://www.sciencedirect.com/science/article/pii/S0165168421004023
    In audio, this leads to undesirable, unpleasant perceptual artifacts. Typically, the best option is to avoid clipping beforehand. In cases where clipping can no longer be prevented, there is a need for means of estimating the original signal. Such a process is called declipping.

The performance of Perceptual 1-Bit Compressed …

    https://www.researchgate.net/publication/271832536_The_performance_of_Perceptual_1-Bit_Compressed_Sensing_for_Audio_Compression
    The motiva-tion in our proposed model, is forming a new weighted sensing matrix based on the perceptual properties of the audio signal [1]. The random sensing matrix is …

View References

    https://ieeexplore.ieee.org/xpl/dwnldReferences?arnumber=9324931
    Defraene N. Mansour S. De Hertogh T. Van Waterschoot M. Diehl and M. Moonen "Declipping of audio signals using perceptual compressed sensing" IEEE Trans. Audio Speech Lang. Process. vol. 21 no. 12 pp. 2627-2637 Dec. 2013.

Uludağ University Journal of The Faculty of Engineering ...

    https://dergipark.org.tr/en/pub/uumfd/issue/66023/912949
    In the restoration of clipped audio signals, which is one of these degradations, the degraded section is aimed to be restored to its original by the part of the undegraded section of the signal. The transformation of the signal from as normally given or recorded in the time domain to a different domain and thus reducing the number of samples required to be …

A Survey and an Extensive Evaluation of Popular Audio ...

    https://rajmic.github.io/declipping2020/
    Audio declipping is the task of estimating the original audio signal given its clipped measurements and has attracted a lot of interest in recent years. Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, as well as the measurement system.

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