Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. [PDF]
Chen J, Liu C, Xie J, An J, Huang N.
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Underwater Source Counting with Local-Confidence-Level-Enhanced Density Clustering. [PDF]
Chen Y, Xue Y, Wang R, Zhang G.
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Application of multi-layer denoising based on ensemble empirical mode decomposition in extraction of fault feature of rotating machinery. [PDF]
Gao K, Xu X, Li J, Jiao S, Shi N.
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A review of second-order blind identification methods. [PDF]
Pan Y +3 more
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Underdetermined blind source separation based on sparse representation
This paper discusses underdetermined (i.e., with more sources than sensors) blind source separation (BSS) using a two-stage sparse representation approach. The first challenging task of this approach is to estimate precisely the unknown mixing matrix. In this paper, an algorithm for estimating the mixing matrix that can be viewed as an extension of the
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An Overview of Variational Autoencoders for Source Separation, Finance, and Bio-Signal Applications. [PDF]
Singh A, Ogunfunmi T.
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Developing a Multi-channel Beamformer by Enhancing Spatially Constrained ICA for Recovery of Correlated EEG Sources. [PDF]
Samadzadehaghdam N +5 more
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Multi-Harmonic Source Localization Based on Sparse Component Analysis and Minimum Conditional Entropy. [PDF]
Du Y, Yang H, Ma X.
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Brain space image reconstruction of functional near-infrared spectroscopy using a Bayesian adaptive fused sparse overlapping group lasso model. [PDF]
Zhai X +3 more
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Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-Excited Attractors II. [PDF]
Volos CK +4 more
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