Results 11 to 20 of about 28,063 (251)
TBSSvis: Visual analytics for Temporal Blind Source Separation
Visual Informatics, 2022 Temporal Blind Source Separation (TBSS) is used to obtain the true underlying processes from noisy temporal multivariate data, such as electrocardiograms.
Nikolaus Piccolotto +6 more
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Blind wideband source separation [PDF]
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002 This paper deals with the general problem of separating two independent wideband sources when they are mixed by unknown filters. In order to solve this problem, a backward framework is proposed which is composed of two different stages. The first one consists of two linear predictors devoted to improve the source separation, whitening the input signals.
Nájar Martón, Montserrat +2 more
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Blind Source Separation Based on Improved Wave-U-Net Network
IEEE Access, 2023 With the development and widespread application of voice interaction technology, it has become crucial to improve the accuracy of blind source separation technology.
Chaofeng Lan +3 more
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Group-level component analyses of EEG: validation and evaluation
Frontiers in Neuroscience, 2015 Multi-subject or group-level component analysis provides a data-driven approach to study properties of brain networks. Algorithms for group-level data decomposition of functional magnetic resonance imaging data have been brought forward more than a ...
Rene eHuster +5 more
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Unified left eigenvector (ULEV) for blind source separation
Electronics Letters, 2022 A joint analysis method is proposed for source separation from multiple datasets. In this method, sources with the greatest impact on the multiple datasets are identified and then are sequentially separated. The method utilizes the advantage of structure
Erfan Naghsh +2 more
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Towards Robust Multiple Blind Source Localization Using Source Separation and Beamforming
Sensors, 2021 Multiple blind sound source localization is the key technology for a myriad of applications such as robotic navigation and indoor localization. However, existing solutions can only locate a few sound sources simultaneously due to the limitation imposed ...
Henglin Pu +5 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2010 Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.
Lin Wang, Heping Ding, Fuliang Yin
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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 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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