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A neural net based scheme for narrowband signal extraction

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dc.contributor.author Dash, P.K.*
dc.contributor.author Nanda, P.K.*
dc.contributor.author Swain, Anjan Kumar
dc.contributor.author Khincha, H.P.*
dc.date.accessioned 2015-03-19T11:03:37Z
dc.date.available 2015-03-19T11:03:37Z
dc.date.issued 1994-06
dc.identifier.uri http://hdl.handle.net/2259/267
dc.description *External Author Vol.40,Nos.2&3,March-June,1994 en_US
dc.description.abstract This paper proposes an alternative method for extraction of narrow band signal contaminated with varying white noise power. A three layred feedforward network with one hidden layer is suggested in this paper. The internal parameters are updated by employing the widely used backpropagation algorithm and the statistical Cauchy's algorithm. The network uses the tangent hyperbolic function to provide the desired nonlinearity to the scheme.During learning the net is exposed to signals wirh high SNR ranging from +40 dB to +20 dB. However, after learning quite interesting results are obtained for very low SNR of the input signal even up to 0 dB. The training samples for fundamental, 3rd harmonic and 5th harmonic are chosen to be different with a view to exploit the pattern classification feature of the net. Therefore,after termination of training the proposed scheme accomplishes the filtering action successfully. The phenomenon of network paralysis as encountered in BP algorithm is circumvent... en_US
dc.language.iso en en_US
dc.publisher IETE en_US
dc.subject Narrowband signal extraction en_US
dc.subject Neural network en_US
dc.title A neural net based scheme for narrowband signal extraction en_US
dc.type Article en_US

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  • Journal Articles [28]
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