Results 21 to 30 of about 4,215 (185)
Underdetermined Blind Source Separation Algorithm for Speech Signal Based on DSKSVD Dictionary Learning [PDF]
Jisuanji gongcheng, 2018 In order to overcome the shortcoming that the traditional learning algorithm training has limited dictionary size and large amount of computation,the algorithm of underdetermined blind source separation for speech signal based on the dictionary learning ...
LI Hu,XU Yan
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Underdetermined Blind Source Separation of Temporomandibular Joint Sounds [PDF]
IEEE Transactions on Biomedical Engineering, 2006 The underdetermined blind source separation problem using a filtering approach is addressed. An extension of the FastICA algorithm is devised which exploits the disparity in the kurtoses of the underlying sources to estimate the mixing matrix and thereafter achieves source recovery by employing the ll-norm algorithm.
Took, CC +3 more
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Algorithm of underdetermined convolutive blind source separation for high reverberation environment
Tongxin xuebao, 2023 To separate the underdetermined convolutive mixture signals in the high reverberation environment, a novel algorithm of underdetermined convolutive blind source separation was proposed.Aiming at the influence of high reverberation environment, a global ...
Yuan XIE +3 more
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IET Communications, 2021 Unmanned aerial vehicles as an important role for 5G and beyond networks are becoming more and more popular and have been equipped with various sensors to enable diverse emerging applications, e.g. locating sound‐emitting targets.
Kan Xie, Kanyang Jiang, Qiyu Yang
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Underdetermined Convolutive Blind Source Separation via Time–Frequency Masking [PDF]
IEEE Transactions on Audio, Speech, and Language Processing, 2010 In this paper, we consider the problem of separation of unknown number of sources from their underdetermined convolutive mixtures via time-frequency (TF) masking. We propose two algorithms, one for the estimation of the masks which are to be applied to the mixture in the TF domain for the separation of signals in the frequency domain, and the other for
Reju, Vaninirappuputhenpurayil Gopalan +2 more
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Complexity, 2020 Rolling element bearing is one of the most commonly used supporting parts in rotating machinery, and it is also one of the most easily failing rotating parts.
HongChao Wang, WenLiao Du
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Rolling Bearing Fault Diagnosis Based on Nonlinear Underdetermined Blind Source Separation
Machines, 2022 One challenge of bearing fault diagnosis is that the vibration signals are often a nonlinear mixture of unknown source signals. In addition, the practical installation position also limits the number of observed signals. Hence, bearing fault diagnosis is
Hong Zhong +4 more
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Contribution of Statistical Tests to Sparseness-Based Blind Source Separation [PDF]
, 2012 International audienceWe address the problem of blind source separation in the underdetermined mixture case. Two statistical tests are proposed to reduce the number of empirical parameters involved in standard sparseness-based underdetermined blind ...
Aissa El Bey, Abdeldjalil +2 more
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Underdetermined Blind Source Separation Based on Subspace Representation [PDF]
IEEE Transactions on Signal Processing, 2009 This paper considers the problem of blindly separating sub- and super-Gaussian sources from underdetermined mixtures. The underlying sources are assumed to be composed of two orthogonal components: one lying in the rowspace and the other in the nullspace of a mixing matrix. The mapping from the rowspace component to the mixtures by the mixing matrix is
Kim, Sanggyun, Yoo, Chang D.
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Blind separation of underdetermined mixtures with additive white and pink noises [PDF]
, 2014 This paper presents an approach for underdetermined blind source separation in the case of additive Gaussian white noise and pink noise. Likewise, the proposed approach is applicable in the case of separating I + 3 sources from I mixtures with additive
Alshabrawy, Ossama +3 more
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