Abstract: In order to solve the adaptive noise cancellation (ANC) problem, a new IIR-based fuzzy system is proposed in this paper.

Abstract: In order to solve the adaptive noise cancellation (ANC) problem, a new IIR-based fuzzy system is proposed in this paper.

In order to solve the adaptive noise cancellation (ANC) problem, a new IIR-based fuzzy system is proposed in this paper. By virtue of its short-term memory ...

The new design is an extension of the classical IIR filter, and it is shown that the filter parameters can be estimated by using a suboptimal least squares ...

Abstract— In this paper, a partially recurrent fuzzy system is developed to function as an adaptive noise canceller. In order to cancel noise distorting the ...

This paper presents an adaptive noise canceller algorithm based fuzzy and neural network. The major advantage of the proposed system is its ease of.

In this paper, a novel adaptive noise cancellation algorithm using enhanced dynamic fuzzy neural networks (EDFNNs) is described. In the proposed algorithm, ...

Radial basis function neural network architectures are introduced for the nonlinear adaptive noise cancellation problem. Both FIR and IIR filter designs are ...

The principle of adaptive noise cancellation is concerned with the enhancement of noise-corrupted signals and is based upon the availability of a primary input.

The simulation example is investigated in [190] which uses neural networks, in [44] which employs Radial-Basis-Functions-Based Adaptive Fuzzy Systems (RBF-AFS).