Underdetermined blind source separation using sparse representations [PDF]
Signal Processing, 2001 The scope of this work is the separation of \(N\) sources from \(M\) linear mixtures when the underlying system is underdetermined, that is, when ...
Bofill, Pau, Zibulevsky, Michael
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Source signal sparsity enhancement based on local maximum synchronous extraction transform algorithm for mixed matrix estimation in UBSS [PDF]
Scientific ReportsTo address the issues of suboptimal sparsity and the tendency of clustering algorithms to converge to local optima in the estimation of the mixing matrix within underdetermined blind source separation (UBSS) systems, a novel mixing matrix estimation ...
Xiongfei Li +5 more
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Underdetermined Blind Source Separation of Audio Signals for Group Reared Pigs Based on Sparse Component Analysis [PDF]
SensorsIn order to solve the problem of difficult separation of audio signals collected in pig environments, this study proposes an underdetermined blind source separation (UBSS) method based on sparsification theory.
Weihao Pan +5 more
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Underdetermined Blind Source Separation with Variational Mode Decomposition for Compound Roller Bearing Fault Signals [PDF]
Sensors, 2016 In the condition monitoring of roller bearings, the measured signals are often compounded due to the unknown multi-vibration sources and complex transfer paths. Moreover, the sensors are limited in particular locations and numbers.
Gang Tang +4 more
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IEEE Access, 2019 Underdetermined blind source separation (UBSS) is a hot and challenging problem in signal processing. In the traditional UBSS algorithm, the number of source signals is often assumed to be known, which is very inconvenient in practice. In addition, it is
Yuan Xie, Kan Xie, Shengli Xie
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Underdetermined blind source separation based on third‐order cumulant and tensor compression
IET Radar, Sonar & NavigationA method for Underdetermined Blind Source Separation is proposed using third‐order cumulants and tensor compression. To effectively suppress symmetrical distributed noise, the third‐order cumulant is considered.
Weilin Luo +5 more
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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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Dual Key Speech Encryption Algorithm Based Underdetermined BSS [PDF]
The Scientific World Journal, 2014 When the number of the mixed signals is less than that of the source signals, the underdetermined blind source separation (BSS) is a significant difficult problem.
Huan Zhao +3 more
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A new blind separation method for under-determined speech signals based on single source interval pre-extraction [PDF]
MATEC Web of Conferences, 2021 A new method is proposed to realize the blind separation of speech signals under underdetermined conditions. Before estimating the mixed parameters, the single-source interval pre-extraction operation first "filters" out a part which is obviously not a ...
Hao Xiangning +2 more
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Blind Separation Algorithm for Underdetermined Variable Speed Frequency Hopping Signals Based on Improved Time Frequency Detection [PDF]
Jisuanji gongcheng, 2020 The characteristics of high hop rate and variable hop speed of Variable Speed Frequency Hopping(VSFH) signals make the separation of source signals more difficult.Existing underdetermined blind source separation algorithms based on Sparse Component ...
WANG Miao, CAI Xiaoxia, LEI Yingke
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