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Adaptive noise canceller based on PSO algorithm

Adaptive noise cancellation technology is a very good signal processing technology, which can eliminate background noise effectively. In order to restrain the traditional adaptive canceller from trapping in local optimum, the improved PSO algorithm is leading into the mutation operator according to standard derivation of swarm fit value to inhibit local optimum, and design an adaptive noise canceller based on three-tier neural network trained by improving PSO algorithm. Theoretical analysis and computer simulations show that this system has better noise cancellation capability compared to the traditional adaptive noise canceller, and increase SNR. greatly.