Abstract
A novel blind source separation algorithm based on particle swarm optimization algorithm and algebraic equations of order two was proposed. Particle swarm optimization algorithm was used for solving the objective function based on algebraic equations of order two and the separation matrix for blind separation was achieved. The calculated amount of the algorithm proposed is very low comparing with some blind separation algorithm based on high order cumulant. Simulation result for speech signal blind separation proves the validity of the algorithm proposed.
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Chen, L., Zhang, L., Guo, Y., Liu, T. (2011). Blind Source Separation Algorithm Based on PSO and Algebraic Equations of Order Two. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23896-3_55
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DOI: https://doi.org/10.1007/978-3-642-23896-3_55
Publisher Name: Springer, Berlin, Heidelberg
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