Mixing Matrix Estimation Algorithm for Underdetermined Blind Source Separation [PDF]
IEEE Access, 2021 An original algorithm for underdetermined mixing matrix estimation is proposed in this paper, which can estimate the mixing matrix effectively when the number of source signals is unknown.
Weihong Fu +4 more
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Adaptive DBSCAN Clustering and GASA Optimization for Underdetermined Mixing Matrix Estimation in Fault Diagnosis of Reciprocating Compressors [PDF]
Sensors, 2023 Underdetermined blind source separation (UBSS) has garnered significant attention in recent years due to its ability to separate source signals without prior knowledge, even when sensors are limited.
Yanyang Li +4 more
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An Effective Two-Stage Clustering Method for Mixing Matrix Estimation in Instantaneous Underdetermined Blind Source Separation and Its Application in Fault Diagnosis [PDF]
IEEE Access, 2021 The underdetermined blind source separation (UBSS) has been considered to be a novel signal processing technique, which can separate the fault source signals from their mixtures.
Jindong Wang +4 more
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Mixing matrix estimation in UBSS based on homogeneous polynomials [PDF]
IET Signal Processing, 2018 An algorithm is proposed for mixing matrix estimation in underdetermined blind source separation (UBSS) based on homogeneous polynomials representation, in order to blindly identify a mixing matrix in the case where the source signal is insufficiently sparse.
Nong Bin, Weihong Fu
exaly +4 more sources
An algorithm for mixing matrix estimation in instantaneous blind source separation [PDF]
Signal Processing, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
V. G. Reju, Soo Ngee Koh, Ing Yann Soon
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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
doaj +2 more sources
Mixing matrix estimation method for dual‐channel time‐frequency overlapped signals based on interval probability [PDF]
ETRI Journal, 2019 For dual‐channel time‐frequency (TF) overlapped signals with low sparsity in underdetermined blind source separation (UBSS), this paper proposes an effective method based on interval probability to estimate and expand the types of mixing matrices. First,
Zhipeng Liu, Lichun Li, Ziru Zheng
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Discrete Mumford–Shah on Graph for Mixing Matrix Estimation
IEEE Signal Processing Letters, 2019 The discrete Mumford-Shah formalism has been introduced for the image denoising problem, allowing to capture both smooth behavior inside an object and sharp transitions on the boundary. In the present work, we propose first to extend this formalism to graphs and to the problem of mixing matrix estimation.
Yacouba Kaloga +3 more
openalex +6 more sources
Underdetermined mixing matrix estimation algorithm based on tensor analysis
Tongxin xuebao, 2022 Aiming at the problems of difficult to extract effective feature information and the slow convergence speed of the underdetermined matrix estimation, an underdetermined matrix estimation algorithm of instantaneous mixtures based on tensor analysis was ...
Baoze MA +3 more
doaj +3 more sources
Mixing Matrix Estimation based on Directional Density Detection and Hough Transform
International Journal of Hybrid Information Technology, 2015 Mixing matrix estimation (MME) algorithm was proposed for the mixing matrix estimation problem of underdetermined blind source separation. The algorithm is based on a combination of processing of isolated time–frequency points from local directional density detection and Hough transform (HT).
Jiedi Sun +3 more
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