DocumentCode :
2290135
Title :
Blind Signal Separation Based on Feed-forward and Feedback Neural Network
Author :
Bo, Xiong ; Guo-lin, Li ; Jing-jing, Xu ; Yu Jing
Author_Institution :
Graduate Students´´ Brigade, Naval Aeronaut. Eng. Inst., Yantai
fYear :
2006
fDate :
16-19 Oct. 2006
Firstpage :
1
Lastpage :
4
Abstract :
The algorithm based on feed-forward and feed-back NN combines both the algorithm based on feed-forward NN and the algorithm based on feed-back NN. It separates the signal blindly by modifying the feed-forward separating matrix and the feed-back separating matrix at the same time. It has both strong adaptability and fast convergence ratio. Finally, the algorithm was used to separate several typical radio fuse signal blindly, and the computer simulation was made. The simulation result was ideal, indicates the algorithm to be effective
Keywords :
blind source separation; feedforward neural nets; recurrent neural nets; blind signal separation; feed-forward-feedback neural network; separating matrix; Aerospace engineering; Blind source separation; Equations; Feedforward neural networks; Feedforward systems; Fuses; Gaussian processes; Neural networks; Neurofeedback; Uncertainty; blind signal separation; neuron network; radio fuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
Type :
conf
DOI :
10.1109/ICR.2006.343118
Filename :
4148243
Link To Document :
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