Performance evaluation of particle swarm optimization based active noise control algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6466 LNCS, Issue , 2010, Pages 531-536

  Rout, Nirmal Kumar ^a   Das, Debi Prasad ^b   Panda, Ganapati ^c  

^a KIIT UNIVERSITY   (India)

^b PE and I Cell   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY BHUBANESWAR   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY COMPUTING; FILTER ALGORITHM; GRADIENT BASED; LEAST MEAN SQUARE ALGORITHMS; LMS ALGORITHMS; LOCAL MINIMA PROBLEMS; LOW FREQUENCY; MATHEMATICAL TREATMENTS; NOISE CONTROL; PARTICLE SWARM OPTIMIZATION ALGORITHM; PERFORMANCE EVALUATION; ACTIVE NOISE CONTROL (ANC); LOW FREQUENCY ACOUSTIC;

ACOUSTIC VARIABLES CONTROL; ACTIVE NOISE CONTROL; ADAPTIVE ALGORITHMS; ADAPTIVE FILTERS; COMPUTER SIMULATION; UNDERWATER ACOUSTICS; ACOUSTIC NOISE; ADAPTIVE FILTERING; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

PARTICLE SWARM OPTIMIZATION (PSO); EVOLUTIONARY ALGORITHMS;

EID: 78650913132     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17563-3_62     Document Type: Conference Paper

References (7)

1. Kuo, S.M., Morgan, D.R.: Active Noise Control Systems - Algorithms and DSP Implementations. Wiley, New York (1996)
2. Das, D.P., Panda, G.: Active Mitigation of Nonlinear Noise Processes using a novel filtered- s LMS Algorithm. IEEE Trans. Speech and Audio Process. 12(3), 313-322 (2004)
3. Russo, F., Sicuranza, G.L.: Accuracy and Performance Evaluation in the Genetic Optimization of Nonlinear Systems for Active Noise Control. IEEE Trans. Instrum. Meas. 56(4), 1443-1450 (2007)
4. Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proc. of IEEE Int. Conf. Neural Networks, pp. 1942-1948 (1995)
5. Modares, H., Ahmadyfard, A., Hadadzarif, M.: A PSO approach for non-linear active noise cancellation. In: Proc. the 6th WSEAS International Conference on Simulation, Modelling and Optimization, Lisbon, Portugal, pp. 492-497 (2006)
6. Liang, J.J., Suganthan, P.N.: Dynamic Multi-Swarm Particle Swarm Optimizer. In: IEEE Swarm Intelligence Symposium, pp. 124-129 (2005)
7. Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S.: Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions. IEEE Trans. on Evolutionary Computation 10(3), 281-295 (2006)