Particle Swarm Optimization Based Active Noise Control Algorithm Without Secondary Path Identification
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[1] Sam Kwong,et al. Genetic algorithms and their applications , 1996, IEEE Signal Process. Mag..
[2] Jong Boo Kim,et al. Genetic adaptive IIR filtering algorithm for active noise control , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).
[3] Liu Xia,et al. Adaptive noise canceller based on PSO algorithm , 2008, 2008 IEEE International Conference on Automation and Logistics.
[4] Dean J. Krusienski,et al. A modified particle swarm optimization algorithm for adaptive filtering , 2006, 2006 IEEE International Symposium on Circuits and Systems.
[5] F. Russo,et al. Genetic Optimization in Nonlinear Systems for Active Noise Control: Accuracy and Performance Evaluation , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.
[6] Hamidrez Modares,et al. A PSO approach for non-linear active noise cancellation , 2006 .
[7] Nirmal Kumar Rout,et al. Performance Evaluation of Particle Swarm Optimization Based Active Noise Control Algorithm , 2010, SEMCCO.
[8] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[9] J. Kennedy,et al. Population structure and particle swarm performance , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[10] Ganapati Panda,et al. Identification of IIR systems using comprehensive learning particle swarm optimisation , 2009 .
[11] Dean J. Krusienski,et al. Particle swarm optimization for adaptive IIR filter structures , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[12] Aurobinda Routray,et al. Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[13] C.-Y. Chang,et al. Active Noise Cancellation Without Secondary Path Identification by Using an Adaptive Genetic Algorithm , 2010, IEEE Transactions on Instrumentation and Measurement.
[14] Jürgen Branke,et al. Multiswarms, exclusion, and anti-convergence in dynamic environments , 2006, IEEE Transactions on Evolutionary Computation.
[15] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[16] W. Jenkins,et al. Adaptive filtering via particle swarm optimization , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
[17] Giovanni L. Sicuranza,et al. Accuracy and Performance Evaluation in the Genetic Optimization of Nonlinear Systems for Active Noise Control , 2007, IEEE Transactions on Instrumentation and Measurement.
[18] Scott C. Douglas. Fast implementations of the filtered-X LMS and LMS algorithms for multichannel active noise control , 1999, IEEE Trans. Speech Audio Process..
[19] Changhe Li,et al. A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.
[20] Ganapati Panda,et al. Active mitigation of nonlinear noise Processes using a novel filtered-s LMS algorithm , 2004, IEEE Transactions on Speech and Audio Processing.
[21] Sen M. Kuo,et al. Active Noise Control Systems: Algorithms and DSP Implementations , 1996 .
[22] W.K. Jenkins,et al. A particle swarm optimization-least mean squares algorithm for adaptive filtering , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..
[23] Shengxiang Yang,et al. Particle Swarm Optimization With Composite Particles in Dynamic Environments , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).