Nonlinear Noise Canceller by Neural Network with Variable Step Size

Shou Zhong Zhang

doi:10.4028/www.scientific.net/AMM.433-435.709

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Application of Probabilistic Neural Networks in Fault Diagnosis of Three-Phase Induction Motors
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Nonlinear Noise Canceller by Neural Network with Variable Step Size
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The Optimal Allocation of Finishing Train in Steel Rolling Based on Improved Genetic Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Nonlinear Noise Canceller by Neural Network with...

Nonlinear Noise Canceller by Neural Network with Variable Step Size

Abstract:

Neural network is acted as noise canceller to implement noise cancel under the condition of interference noise has nonlinear correlation to reference noise. If interference noise has nonlinear correlation to reference noise, the transversal filter has weak effect to cancel the noise in the signal. Neural network has nonlinear characteristic transfer and can solve this problem, and a new variable step size algorithm is proposed to further improve the performance. Computer simulation results show that neural network noise canceller has better signal to noise gain for nonlinear noise.