Reverberant signal separation using optimized complex sparse nonnegative tensor deconvolution on spectral covariance matrix-Reference-Cited by-同舟云学术

Reverberant signal separation using optimized complex sparse nonnegative tensor deconvolution on spectral covariance matrix

Published:2018-12 Issue: Volume:83 Page:9-23
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Woo W.L.^ORCID,Dlay S.S.,Al-Tmeme Ahmed,Gao Bin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference37 articles.

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4. Under-determined reverberant audio source separation using a full-rank spatial covariance model;Duong;IEEE Trans. Audio Speech Lang. Process.,2010

5. Under-determined reverberant audio source separation using local observed covariance and auditory-motivated time–frequency representation;Duong,2010

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