Results 11 to 20 of about 268,605 (307)
, 2002 Publication in the conference proceedings of EUSIPCO, Toulouse, France ...
Luis Vielva +5 more
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Wavelet Packet Transform-Based Algorithm for Mixing Matrix Estimation
Journal of Computers, 2012 The sparsity of signals in their transformed domain is widely used for under-determined blind source separation. The most challenging task of under-determined BSS is to estimate the mixing matrix. In this paper, a new cost function is proposed to detect the sparsest sub-band. Samples in the sub-band can be used to estimate the mixing matrix.
Yujie Zhang, Huiming Peng, Hongwei Li
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Mixing Matrix Estimation of Underdetermined Blind Source Separation Based on Data Field and Improved FCM Clustering [PDF]
Symmetry, 2018 Qiang Guo, Chen Li, Guoqing Ruan
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A Separation Method for Electromagnetic Radiation Sources of the Same Frequency [PDF]
Journal of Electromagnetic Engineering and Science, 2023 To separate electromagnetic interference sources with an unknown source number, a new separation method is proposed, which includes five key steps: spatial spectrum estimation, source number and direction-of-arrival estimation, mixed matrix estimation ...
Yingchun Xiao, Yang Yang, Feng Zhu
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Estimating mixed-memberships using the symmetric laplacian inverse matrix
Journal of the Korean Statistical Society, 2022 Mixed membership community detection is a challenging problem. In this paper, to detect mixed memberships, we propose a new method Mixed-SLIM which is a spectral clustering method on the symmetrized Laplacian inverse matrix under the degree-corrected mixed membership model.
Huan Qing, Jingli Wang
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Sensors, 2023 Blind source separation (BSS) recovers source signals from observations without knowing the mixing process or source signals. Underdetermined blind source separation (UBSS) occurs when there are fewer mixes than source signals. Sparse component analysis (
Norsalina Hassan, Dzati Athiar Ramli
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Underdetermined Mixed Matrix Estimation Based on DPCKFCM Algorithm
Journal of Physics: Conference Series, 2021 Abstract Aiming at the problem of fuzzy C-means (FCM) in the estimation of underdetermined mixing matrix, that the estimation accuracy is not high and the robustness is poor, a density peak clustering (DPC) based on density peak clustering (DPC) is proposed. Improved Kernel-based Fuzzy C-means (KFCM).
Wenrui Cao +3 more
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Computation of spherical sector harmonics norm with application to blind source separation [PDF]
JASA Express Letters, 2023 Spherical microphone arrays (SMAs) are widely being used for source localization and separation. However, it is uneconomical to build a full SMA when sources are present in restricted regions of environment.
Deepika Kumari, Lalan Kumar
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Dimension reduction in spatial regression with kernel SAVE method
Comptes Rendus. Mathématique, 2021 We consider the smoothed version of sliced average variance estimation (SAVE) dimension reduction method for dealing with spatially dependent data that are observations of a strongly mixing random field.
Affossogbe, Mètolidji Moquilas Raymond +2 more
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Quantifying identifiability in independent component analysis [PDF]
, 2014 We are interested in consistent estimation of the mixing matrix in the ICA model, when the error distribution is close to (but different from) Gaussian.
Falkeborg, Benjamin +2 more
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