In order to implement the self-adapted pick-up signal interfered by non-Gauss noise,we use the BP neural network as noise cancellation filter,interfered noise was strongly interrelated with the resource of noise as reference noise in order to control the background noise.

For the weakness signal which contains interference transient,we use AR model to evaluate the coefficients and to predict the waveform of the noise,make these signal through the adaptive filter using noise cancellation.

On the basis of the principle of adaptive linear neuron in the field of neural networks and the theory of the adaptive noise cancellation ,this paper proposes an improved adaptvie noise cancellation controller.

The working principle of adaptive filter and LMS algorithm is expounded and its application in noise canceller is introduced.

In this paper , the theory of adaptive filter based on LMS algorithm i s discussed , and its application on noise canceller is introduced .

Study of adaptive noise cancellation used in measuring HV insulator s leakage current;

This paper introduces a modified LMS algorithm and its application in adaptive noise cancellation.

Study of Recurrent Neural Network Adaptive Active Noise Cancellation;

Based on the input and output signal model of a dithered ring laser gyroscope,a new method of dither signal remover utilizing adaptive noise canceling is disclosed.

The algorithm is applied in the simulation of adaptive noise cancellations system,which confirms the theoretical analysis.