Adaptive noise cancellation based on beehive pattern evolutionary digital filter
Beehive pattern evolutionary rules are developed to overcome low convergence speed during global optimum estimation with cloning and mating methods. The adaptive noise cancellation algorithm based on the Beehive Pattern Evolutionary Digital Filter (BP-EDF) is proposed. The proposed algorithm enables the global optimum estimation when detecting feature impulse fault signal from the heavy noise contaminated condition. Convergence speed and the noise cancellation performance of the proposed algorithm BP-EDF are validated by simulation and experiment.
convergence speed beehive pattern structure evolutionary filter fault feature signal