Signal Separation Based on Focused Neural Network Filter

Abstract:

Neural networks have been widely accepted as a good method for signal separation, signal detection and so on. Focused neural network is one of these, which do not need known knowledge of its parameters, and the signal separation effect is more satisfactory. Focused neural network can be used to separate the signal from the signal and noise mixture, the computer simulation experiment shows that the effect of the filter is fairly good.

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 2107-2110
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.2107
• Online since: December 2012
• Authors: Xian Mao Li, Jiu Ming Lv
• Keywords: Focused Neural Networks, Lagged Feed Forward, Neural Filter, Nonlinear Filter, Signal Separation

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