Results 31 to 40 of about 5,520,700 (190)
Underdetermined Blind Audio Source Separation Using Modal Decomposition
EURASIP Journal on Audio, Speech, and Music Processing, 2007 This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped sinusoidal (modal) components.
Aïssa-El-Bey Abdeldjalil +2 more
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Blind Source Separation based on Whale Optimization Algorithm
MATEC Web of Conferences, 2018 Aiming at the problem of linear instantaneous aliasing in blind source separation, a new method of blind signal separation using whale optimization algorithm is proposed in this paper, which provides a new research idea and method for blind signal ...
Ding-li CHU, Hong CHEN, Han-yi CHEN
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Underdetermined Blind Separation by Combining Sparsity and Independence of Sources
IEEE Access, 2017 In this paper, we address underdetermined blind separation of N sources from their M instantaneous mixtures, where N > M, by combining the sparsity and independence of sources.
Peng Chen +4 more
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Blind source separation in the presence of weak sources
Neural Networks, 2000 Accepted for publication in Neural ...
Jean-Pierre Nadal +2 more
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Multimodal blind source separation for moving sources [PDF]
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 A novel multimodal approach is proposed to solve the problem of blind source separation (BSS) of moving sources. The challenge of BSS for moving sources is that the mixing filters are time varying, thus the unmixing filters should also be time varying, which are difficult to track in real time.
Syed M. Naqvi +2 more
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Identification of Modal Parameters Using an Improved Sparse Blind Source Separation Method
IEEE AccessDuring the past decade, blind source separation (BSS) method has become an effective tool to characterize and identify modal parameters of linear systems.
Gang Yu, Aoran Wang
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Blind source separation for imaging
CoRRThis work is concerned with the problem of blind source separation and its applications to imaging. We first establish a theoretical result that we stated in our previous article on imaging in diffusive environments. This result is a generalization of separability criteria found in the literature to arbitrary correlated complex-valued sources with ...
Randy Bartels, Olivier Pinaud
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Blind source separation communication anti-jamming technology and practice
Tongxin xuebao, 2023 Aiming at the threat of broad frequency band suppressing jamming and the inherent contradiction between spectrum resources and communication anti-jamming ability, a method was proposed to add the statistics domain dimension on the basis of spread ...
Fuqiang YAO +3 more
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Molecular Oncology, EarlyView.High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
Underdetermined Joint Blind Source Separation of Multiple Datasets
IEEE Access, 2017 In this paper, we tackle the problem of jointly separating instantaneous linear underdetermined mixtures of latent sources from multiple data sets, where the number of sources exceeds that of observations in each data set.
Liang Zou +3 more
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