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Adaptive Speech Dereverberation Using Constrained Sparse Multichannel Linear Prediction., , и . IEEE Signal Process. Lett., 24 (1): 101-105 (2017)Speech dereverberation with multi-channel linear prediction and sparse priors for the desired signal., , , и . HSCMA, стр. 23-26. IEEE, (2014)Supervised feature extraction for tensor objects based on maximization of mutual information., и . Pattern Recognit. Lett., 34 (13): 1476-1484 (2013)Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation., , , , , , , и . CoRR, (2023)Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter., , , , , , , и . IEEE Trans. Signal Process., (2020)Tucker factorization with missing data with application to low- \(n\) -rank tensor completion., и . Multidimens. Syst. Signal Process., 26 (3): 677-692 (2015)Flexible Multichannel Speech Enhancement for Noise-Robust Frontend., , и . WASPAA, стр. 1-5. IEEE, (2023)Sparseness constrained nonnegative matrix factorization for unsupervised 3D segmentation of multichannel images: demonstration on multispectral magnetic resonance image of the brain., , и . Medical Imaging: Image Processing, том 8669 из SPIE Proceedings, стр. 866938. SPIE, (2013)Robust sparsity-promoting acoustic multi-channel equalization for speech dereverberation., , и . ICASSP, стр. 166-170. IEEE, (2016)Restoration of images corrupted by mixed Gaussian-impulse noise by iterative soft-hard thresholding., и . EUSIPCO, стр. 1637-1641. IEEE, (2014)