Nonlinear Adaptive Filter Based on Pipelined Bilinear Function Link Neural Networks Architecture
Authors: Dinh Cong Le, Van Minh Le, Thai Son Dang, The Anh Mai, Manh Cuong Nguyen
The International Conference on Intelligent Systems & Networks
: : 256-264
Publishing year: 5/2021
n order to further enhance the computational efficiency and application scope of the bilinear functional links neural networks (BFLNN) filter, a pipelined BFLNN (PBFLNN) filter has been developed in this paper. The idea of the method is to divide the complex BFLNN structure into multiple simple BFLNN modules (with a smaller memory-length) and cascade connection in a pipelined fashion. Thanks to the simultaneous processing and the nested nonlinearity of the modules, the PBFLNN achieves a significant improvement in computation without degrading its performance. The simulation results have demonstrated the effectiveness of the proposed method and the potentials of the PBFLNN filter in many different applications.
Pipelined Generalized FLNN Nonlinear adaptive filtering
