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AES E-Library » Audio Denoising by Generalized Time ...
https://www.aes.org/e-lib/browse.cfm?elib=16182#:~:text=Audio%20Denoising%20by%20Generalized%20Time-Frequency%20Thresholding%20This%20paper,and%20connects%20well-known%20shrinkage%20operators%20as%20special%20cases.
Audio Denoising by Generalized Time-Frequency Thresholding
https://kaisiedenburg.files.wordpress.com/2011/04/siedenburgdoerfleraudiodenoising.pdf
Audio Denoising by Generalized Time-Frequency Thresholding Kai Siedenburg1, Monika Dorfler¨ 1 1Numerical Harmonic Analysis Group, Faculty of Mathematics, University of Vienna Correspondence should be addressed to Kai Siedenburg ([email protected]) ABSTRACT This paper considers the denoising problem from the viewpoint of sparse atomic ...
AES E-Library » Audio Denoising by Generalized Time ...
https://www.aes.org/e-lib/browse.cfm?elib=16182
Audio Denoising by Generalized Time-Frequency Thresholding This paper considers the denoising problem from the viewpoint of sparse atomic representation. A general framework of time-frequency soft-thresholding is proposed which encompasses and connects well-known shrinkage operators as special cases.
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
Audio denoising aims at attenua ting the noise while retaining the underlying signals. Applications such as music and speec h restoration are …
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-
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