A Modified JadeR for Signal Separation under Gaussian Noise
DOI:
https://doi.org/10.31642/JoKMC/2018/05030Keywords:
Joint Approximation Diagonalization, JadeR, Blind Source Separation, BSS.Abstract
A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS). MJADER based on the mixture's dimensions minimization step, where the cumulant matrices have been estimated using a reduced-dimension observed mixture. The approach (M-JADER) is based on a threshold step, it is easy to implement, computationally efficient and faster than standard JADER about 50% where it has less running time. The comparison done under tow types of niose(semi-white Gaussian noise and Uniform noise)Downloads
References
M. Scarpiniti, S. Scardapane, D. Comminiello, R. Parisi, and A. Uncini, Effective Blind Source Separation Based on the Adam Algorithm,2018. DOI: https://doi.org/10.1007/978-3-319-56904-8_6
D. N. Rutledge and D. J.-R. Bouveresse, "Independent components analysis with the JADE algorithm," Trends in Analytical Chemistry, vol. 50, No. pp.22-32,2013. DOI: https://doi.org/10.1016/j.trac.2013.03.013
T. S. Hong and J. Kim, "FPGA implementation of JADE ICA algorithm," in International SoC Design Conference (ISOCC), pp. 31-32,2015. DOI: https://doi.org/10.1109/ISOCC.2015.7401650
G. R. Naik and D. K. Kumar, "An overview of independent component analysis and its applications," Informatica, vol. 35, No. 1,2011. DOI: https://doi.org/10.5772/3084
A. Yeredor, "Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting," IEEE signal processing letters, vol. 7, No. 7, pp.197-200,2000. DOI: https://doi.org/10.1109/97.847367
G. Sahonero-Alvarez, B.-G. La Paz, H. Calderon, and B. La Paz, "A Comparison of SOBI, FastICA, JADE and Infomax Algorithms," in 8th International Multi-Conference on Complexity, Informatics and Cybernetics, pp. 17-22,2017.
H. Sawada, S. Araki, and S. Makino, "Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS," in IEEE International Symposium on Circuits and Systems, ISCAS, pp. 3247-3250,2007. DOI: https://doi.org/10.1109/ISCAS.2007.378164
Y. Li, D. Powers, and J. Peach, "Comparison of blind source separation algorithms," Advances in neural networks and applications, vol. No. pp.18-21,2000.
S. S. Mahmoud, Z. M. Hussain, and P. O'Shea, "Geometrical model for mobile radio channel with hyperbolically distributed scatterers," IEEE International Conference on Communication Systems, IEEE ICCS, Singapore, pp. 17-20,2000.
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Copyright (c) 2018 Muna H. Fatnan, Zahir M. Hussain, Hind R. Mohammed
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