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Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms., and . ICA, volume 3195 of Lecture Notes in Computer Science, page 1056-1063. Springer, (2004)Single autoterms selection for blind source separation in time-frequency plane., , , and . EUSIPCO, page 1-4. IEEE, (2002)Tensor decomposition meets blind source separation., , , , and . Signal Process., (2024)Surface EMG pre-processing techniques for the detection of common input to motor neuron populations., , , , and . BMEI, page 256-259. IEEE, (2013)A new optical flow model for motor unit conduction velocity estimation in multichannel surface EMG., and . Comput. Biol. Medicine, (2017)On the Impact of Muscle Shortening on Non-Negative Matrix Factorization of Dynamic Surface Electromyograms., , and . EMBC, page 5970-5973. IEEE, (2018)Distributed Jacobi Joint Diagonalization on Clusters of Personal Computers., , and . Int. J. Parallel Program., 34 (6): 509-530 (2006)On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG., , , , and . EMBC, page 736-739. IEEE, (2020)Motor Unit Properties and Underlying Determinants in Pathological Tremor., , , , , , and . NEUROTECHNIX, page 133-138. SciTePress, (2013)A novel approach to convolutive blind separation of close-to-orthogonal pulse sources using second-order statistics., and . EUSIPCO, page 381-384. IEEE, (2004)