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Audio Denoising by Time-Frequency Block Thresholding ...
http://www.cmap.polytechnique.fr/~bacry/ftp/papers/ieee07.pdf#:~:text=time-frequency%20denoising%2C%20we%20show%20that%20block%20thresholdingregularizes%20the,to%20state%20of%20the%20art%20audio%20denoising%20algorithms.
Audio Denoising by Time-Frequency Block Thresholding ...
https://ieeexplore.ieee.org/document/4490115/
Audio Denoising by Time-Frequency Block Thresholding Abstract: Removing noise from audio signals requires a nondiagonal processing of time-frequency coefficients to avoid producing ldquomusical noise.rdquo State of the art algorithms perform a parameterized filtering of spectrogram coefficients with empirically fixed parameters.
(PDF) Audio Denoising by Time-Frequency Block …
https://www.researchgate.net/publication/224514376_Audio_Denoising_by_Time-Frequency_Block_Thresholding
time-frequency denoising, we show that block thresholding regularizes the estimate and is thus effective in musical noise reduction. Block parameters are automatically adjusted by …
Audio Denoising by Time-Frequency Block Thresholding ...
http://www.cmap.polytechnique.fr/~bacry/ftp/papers/ieee07.pdf
A time-frequency transform decomposes the audio signaly over a family of time-frequency atoms{gl,k}l,k where l and k are the time and frequency (or scale) localization indices. The resulting coefficients shall be written: Y[l,k] = hy,g l,ki = NX−1 n=0 y[n]g∗ [n] . where ∗ denotes the conjugate. These transforms define a complete an d often redundant signal represen-
Audio Denoising by Time-Frequency Block Thresholding ...
https://dl.acm.org/doi/10.1109/TSP.2007.912893
IEEE Transactions on Signal Processing. Periodical Home; Latest Issue; Archive; Authors; Affiliations; Home Browse by Title Periodicals IEEE Transactions on Signal Processing Vol. 56, No. 5 Audio Denoising by Time-Frequency Block Thresholding Browse by Title Periodicals IEEE Transactions on Signal Processing Vol. 56, No. 5 Audio Denoising by Time-Frequency Block
Audio Denoising by Time-Frequency Block Thresholding
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004490115
Removing noise from audio signals requires a nondiagonal processing of time-frequency coefficients to avoid producing ldquomusical noise.rdquo State of the art algorithms perform a parameterized filtering of spectrogram coefficients with empirically fixed parameters. A block thresholding estimation procedure is introduced, which adjusts all parameters adaptively to …
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