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Audio inpainting: Evaluation of time-frequency representations and structured sparsity approaches
F Lieb, HG Stark - Signal Processing, 2018 - Elsevier
Audio signals such as music are known to exhibit distinct and sparse time-frequency
patterns. In particular, the short-time Fourier/Gabor transform is widely used for sparsely …
patterns. In particular, the short-time Fourier/Gabor transform is widely used for sparsely …
A penalty function promoting sparsity within and across groups
I Bayram, S Bulek - IEEE Transactions on Signal Processing, 2017 - ieeexplore.ieee.org
We introduce a new penalty function that promotes signals composed of a small number of
active groups, where within each group, only a few high magnitude coefficients are nonzero …
active groups, where within each group, only a few high magnitude coefficients are nonzero …
Persistent time-frequency shrinkage for audio denoising
K Siedenburg, M Dörfler - Journal of the Audio Engineering Society, 2013 - aes.org
Natural audio signals are known to be highly structured. Incorporating knowledge about this
inherent structure helps to improve audio restoration algorithms. In this article audio …
inherent structure helps to improve audio restoration algorithms. In this article audio …
[HTML][HTML] Structured sparsity assisted online convolution sparse coding and its application on weak signature detection
MA Huijie, LI Shunming, LU Jiantao, Z Zhang… - Chinese Journal of …, 2022 - Elsevier
Due to the strong background noise and the acquisition system noise, the useful
characteristics are often difficult to be detected. To solve this problem, sparse coding …
characteristics are often difficult to be detected. To solve this problem, sparse coding …
Audio denoising by generalized time-frequency thresholding
K Siedenburg, M Dörfler - … : Applications of Time-Frequency Processing in …, 2012 - aes.org
This paper considers the denoising problem from the viewpoint of sparse atomic
representation. A general framework of time-frequency soft-thresholding is proposed which …
representation. A general framework of time-frequency soft-thresholding is proposed which …