Title :
A Deconvolution Method for Impulsive Signals using Neural-Networks
Author :
Molino-Minero-Re, Erik ; López-Garcia, Mariano ; Manuel-Lazaro, Antoni ; del-Rio-Fernandez, Joaquin
Author_Institution :
Catalonia Polytech Univ.
Abstract :
This work describes a proposal method for impulsive signal deconvolution. The method uses a simple one-layer neural-network configured for implementing an adaptive filter that models the unknown inverse impulse response of the propagation media. The Levenberg-Marquardt (LM) algorithm is used for finding the coefficients of the neural-network. The method has been tested on simulated channels, and on a mathematical model from a real cantilever beam. Results show that with proper training deconvolution can be achieved
Keywords :
adaptive filters; deconvolution; filtering theory; neural nets; transient response; Levenberg-Marquardt algorithm; adaptive filter; cantilever beam; deconvolution method; impulsive signal deconvolution; inverse impulse response; media propagation; neural-networks; Adaptive filters; Data acquisition; Deconvolution; Distortion measurement; Information analysis; Inverse problems; Materials testing; Signal analysis; Signal processing; Structural beams;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295521
